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sleep apnea</title> <meta name="description" content="Search results for: obstructive sleep apnea"> <meta name="keywords" content="obstructive sleep apnea"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="obstructive sleep apnea"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 360</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: obstructive sleep apnea</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">360</span> Operating Model of Obstructive Sleep Apnea Patients in North Karelia Central Hospital </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=L.%20Korpinen">L. Korpinen</a>, <a href="https://publications.waset.org/abstracts/search?q=T.%20Kava"> T. Kava</a>, <a href="https://publications.waset.org/abstracts/search?q=I.%20Salmi"> I. Salmi </a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study aimed to describe the operating model of obstructive sleep apnea. Due to the large number of patients, the role of nurses in the diagnosis and treatment of sleep apnea was important. Pulmonary physicians met only a minority of the patients. The sleep apnea study in 2018 included about 800 patients, of which about 28% were normal and 180 patients were classified as severe (apnea-hypopnea index [AHI] over 30). The operating model has proven to be workable and appropriate. The patients understand well that they may not be referred to a pulmonary doctor. However, specialized medical follow-up on professional drivers continues every year. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=sleep" title="sleep">sleep</a>, <a href="https://publications.waset.org/abstracts/search?q=apnea%20patient" title=" apnea patient"> apnea patient</a>, <a href="https://publications.waset.org/abstracts/search?q=operating%20model" title=" operating model"> operating model</a>, <a href="https://publications.waset.org/abstracts/search?q=hospital" title=" hospital"> hospital</a> </p> <a href="https://publications.waset.org/abstracts/111322/operating-model-of-obstructive-sleep-apnea-patients-in-north-karelia-central-hospital" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/111322.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">131</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">359</span> Classifications of Sleep Apnea (Obstructive, Central, Mixed) and Hypopnea Events Using Wavelet Packet Transform and Support Vector Machines (VSM)</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Benghenia%20Hadj%20Abd%20El%20Kader">Benghenia Hadj Abd El Kader</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Sleep apnea events as obstructive, central, mixed or hypopnea are characterized by frequent breathing cessations or reduction in upper airflow during sleep. An advanced method for analyzing the patterning of biomedical signals to recognize obstructive sleep apnea and hypopnea is presented. In the aim to extract characteristic parameters, which will be used for classifying the above stated (obstructive, central, mixed) sleep apnea and hypopnea, the proposed method is based first on the analysis of polysomnography signals such as electrocardiogram signal (ECG) and electromyogram (EMG), then classification of the (obstructive, central, mixed) sleep apnea and hypopnea. The analysis is carried out using the wavelet transform technique in order to extract characteristic parameters whereas classification is carried out by applying the SVM (support vector machine) technique. The obtained results show good recognition rates using characteristic parameters. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=obstructive" title="obstructive">obstructive</a>, <a href="https://publications.waset.org/abstracts/search?q=central" title=" central"> central</a>, <a href="https://publications.waset.org/abstracts/search?q=mixed" title=" mixed"> mixed</a>, <a href="https://publications.waset.org/abstracts/search?q=sleep%20apnea" title=" sleep apnea"> sleep apnea</a>, <a href="https://publications.waset.org/abstracts/search?q=hypopnea" title=" hypopnea"> hypopnea</a>, <a href="https://publications.waset.org/abstracts/search?q=ECG" title=" ECG"> ECG</a>, <a href="https://publications.waset.org/abstracts/search?q=EMG" title=" EMG"> EMG</a>, <a href="https://publications.waset.org/abstracts/search?q=wavelet%20transform" title=" wavelet transform"> wavelet transform</a>, <a href="https://publications.waset.org/abstracts/search?q=SVM%20classifier" title=" SVM classifier"> SVM classifier</a> </p> <a href="https://publications.waset.org/abstracts/50100/classifications-of-sleep-apnea-obstructive-central-mixed-and-hypopnea-events-using-wavelet-packet-transform-and-support-vector-machines-vsm" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/50100.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">371</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">358</span> Case Study of Obstructive Sleep Apnea and Methods of Treatment for a Professional Driver</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=R.%20P%C3%A4%C3%A4kk%C3%B6nen">R. Pääkkönen</a>, <a href="https://publications.waset.org/abstracts/search?q=L.%20Korpinen"> L. Korpinen</a>, <a href="https://publications.waset.org/abstracts/search?q=T.%20Kava"> T. Kava</a>, <a href="https://publications.waset.org/abstracts/search?q=I.%20Salmi"> I. Salmi </a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study evaluates obstructive sleep apnea treatment through a case study involving a 67-year-old male driver who had a successful continuous positive airway pressure (CPAP) treatment at home but experienced difficulties with traveling and dental care. There are many cheap sleep apnea and snoring devices available, but there is little professional advice on what kind of devices can help. Professional drivers receive yearly specialized medical care follow-up. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=sleep" title="sleep">sleep</a>, <a href="https://publications.waset.org/abstracts/search?q=apnea%20patient" title=" apnea patient"> apnea patient</a>, <a href="https://publications.waset.org/abstracts/search?q=CPAP" title=" CPAP"> CPAP</a>, <a href="https://publications.waset.org/abstracts/search?q=professional%20driver" title=" professional driver"> professional driver</a> </p> <a href="https://publications.waset.org/abstracts/111884/case-study-of-obstructive-sleep-apnea-and-methods-of-treatment-for-a-professional-driver" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/111884.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">198</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">357</span> The Association between Obstructive Sleep Apnea Syndrome and Driver Fatigue in North Taiwan Urban Areas</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Cheng-Yu%20Tsai">Cheng-Yu Tsai</a>, <a href="https://publications.waset.org/abstracts/search?q=Wen-Te%20Liu"> Wen-Te Liu</a>, <a href="https://publications.waset.org/abstracts/search?q=Chen-Chen%20Lo"> Chen-Chen Lo</a>, <a href="https://publications.waset.org/abstracts/search?q=Yin-Tzu%20Lin"> Yin-Tzu Lin</a>, <a href="https://publications.waset.org/abstracts/search?q=Kang%20Lo"> Kang Lo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Driving fatigue related to inadequate or disordered sleep accounts for a major percentage of traffic accidents. Obstructive sleep apnea syndrome (OSAS) is a common respiratory disorder during sleep. However, the effects of OSAS severity on driving drowsiness remain unclear. Objective: The aim of this study is to investigate the relationship between OSAS severity and driving fatigue. Methodologies: The physical condition while driving was obtained from the questionnaires to classify the state of driving fatigue. OSAS severity was quantified as the polysomnography, and the mean hourly number of greater than 3% dips in oxygen saturation during examination in a hospital in New Taipei City (Taiwan). The severity of OSAS was diagnosed by the apnea and hypopnea index (AHI) with the American Academy of Sleep Medicine (AASM) guideline. The logistic regression model was used to examine the associations after adjusted age, gender, neck circumstance, waist circumstance, and body mass index (BMI). Results: There were 880 subjects recruited in this study, who had been done polysomnography for evaluating severity for OSAS as well as completed the driver condition questionnaire. 752 subjects were diagnosed with OSA, and 484 subjects had fatigue driving behavior in the past week. Patients diagnosed with OSAS had a 9.42-fold higher odds ratio (p < 0.01, 95% CI = 5.41 – 16.42) of driving drowsiness for cohorts with a normal degree. Conclusion: We observe the considerable correlation between OSAS and driving fatigue. For the purpose of promoting traffic safety, OSAS should be monitored and treated. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=obstructive%20sleep%20apnea%20syndrome" title="obstructive sleep apnea syndrome">obstructive sleep apnea syndrome</a>, <a href="https://publications.waset.org/abstracts/search?q=driving%20fatigue" title=" driving fatigue"> driving fatigue</a>, <a href="https://publications.waset.org/abstracts/search?q=polysomnography" title=" polysomnography"> polysomnography</a>, <a href="https://publications.waset.org/abstracts/search?q=apnea%20and%20hypopnea%20index" title=" apnea and hypopnea index"> apnea and hypopnea index</a> </p> <a href="https://publications.waset.org/abstracts/110111/the-association-between-obstructive-sleep-apnea-syndrome-and-driver-fatigue-in-north-taiwan-urban-areas" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/110111.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">133</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">356</span> Revealing the Risks of Obstructive Sleep Apnea</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Oyuntsetseg%20Sandag">Oyuntsetseg Sandag</a>, <a href="https://publications.waset.org/abstracts/search?q=Lkhagvadorj%20Khosbayar"> Lkhagvadorj Khosbayar</a>, <a href="https://publications.waset.org/abstracts/search?q=Naidansuren%20Tsendeekhuu"> Naidansuren Tsendeekhuu</a>, <a href="https://publications.waset.org/abstracts/search?q=Densenbal%20Dansran"> Densenbal Dansran</a>, <a href="https://publications.waset.org/abstracts/search?q=Bandi%20Solongo"> Bandi Solongo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Introduction: Obstructive sleep apnea (OSA) is a common disorder affecting at least 2% to 4% of the adult population. It is estimated that nearly 80% of men and 93% of women with moderate to severe sleep apnea are undiagnosed. A number of screening questionnaires and clinical screening models have been developed to help identify patients with OSA, also it’s indeed to clinical practice. Purpose of study: Determine dependence of obstructive sleep apnea between for severe risk and risk factor. Material and Methods: A cross-sectional study included 114 patients presenting from theCentral state 3th hospital and Central state 1th hospital. Patients who had obstructive sleep apnea (OSA)selected in this study. Standard StopBang questionnaire was obtained from all patients.According to the patients’ response to the StopBang questionnaire was divided into low risk, intermediate risk, and high risk.Descriptive statistics were presented mean ± standard deviation (SD). Each questionnaire was compared on the likelihood ratio for a positive result, the likelihood ratio for a negative test result of regression. Statistical analyses were performed utilizing SPSS 16. Results: 114 patients were obtained (mean age 48 ± 16, male 57)that divided to low risk 54 (47.4%), intermediate risk 33 (28.9%), high risk 27 (23.7%). Result of risk factor showed significantly increasing that mean age (38 ± 13vs. 54 ± 14 vs. 59 ± 10, p<0.05), blood pressure (115 ± 18vs. 133 ± 19vs. 142 ± 21, p<0.05), BMI(24 IQR 22; 26 vs. 24 IQR 22; 29 vs. 28 IQR 25; 34, p<0.001), neck circumference (35 ± 3.4 vs. 38 ± 4.7 vs. 41 ± 4.4, p<0.05)were increased. Results from multiple logistic regressions showed that age is significantly independently factor for OSA (odds ratio 1.07, 95% CI 1.02-1.23, p<0.01). Predictive value of age was significantly higher factor for OSA (AUC=0.833, 95% CI 0.758-0.909, p<0.001). Our study showing that risk of OSA is beginning 47 years old (sensitivity 78.3%, specifity74.1%). Conclusions: According to most of all patients’ response had intermediate risk and high risk. Also, age, blood pressure, neck circumference and BMI were increased such as risk factor was increased for OSA. Especially age is independently factor and highest significance for OSA. Patients’ age one year is increased likelihood risk factor 1.1 times is increased. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=obstructive%20sleep%20apnea" title="obstructive sleep apnea">obstructive sleep apnea</a>, <a href="https://publications.waset.org/abstracts/search?q=Stop-Bang" title=" Stop-Bang"> Stop-Bang</a>, <a href="https://publications.waset.org/abstracts/search?q=BMI%20%28Body%20Mass%20Index%29" title=" BMI (Body Mass Index)"> BMI (Body Mass Index)</a>, <a href="https://publications.waset.org/abstracts/search?q=blood%20pressure" title=" blood pressure"> blood pressure</a> </p> <a href="https://publications.waset.org/abstracts/58013/revealing-the-risks-of-obstructive-sleep-apnea" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/58013.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">310</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">355</span> Classification for Obstructive Sleep Apnea Syndrome Based on Random Forest</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Cheng-Yu%20Tsai">Cheng-Yu Tsai</a>, <a href="https://publications.waset.org/abstracts/search?q=Wen-Te%20Liu"> Wen-Te Liu</a>, <a href="https://publications.waset.org/abstracts/search?q=Shin-Mei%20Hsu"> Shin-Mei Hsu</a>, <a href="https://publications.waset.org/abstracts/search?q=Yin-Tzu%20Lin"> Yin-Tzu Lin</a>, <a href="https://publications.waset.org/abstracts/search?q=Chi%20Wu"> Chi Wu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Obstructive Sleep apnea syndrome (OSAS) is a common respiratory disorder during sleep. In addition, Body parameters were identified high predictive importance for OSAS severity. However, the effects of body parameters on OSAS severity remain unclear. Objective: In this study, the objective is to establish a prediction model for OSAS by using body parameters and investigate the effects of body parameters in OSAS. Methodologies: Severity was quantified as the polysomnography and the mean hourly number of greater than 3% dips in oxygen saturation during examination in a hospital in New Taipei City (Taiwan). Four levels of OSAS severity were classified by the apnea and hypopnea index (AHI) with American Academy of Sleep Medicine (AASM) guideline. Body parameters, including neck circumference, waist size, and body mass index (BMI) were obtained from questionnaire. Next, dividing the collecting subjects into two groups: training and testing groups. The training group was used to establish the random forest (RF) to predicting, and test group was used to evaluated the accuracy of classification. Results: There were 3330 subjects recruited in this study, whom had been done polysomnography for evaluating severity for OSAS. A RF of 1000 trees achieved correctly classiﬁed 79.94 % of test cases. When further evaluated on the test cohort, RF showed the waist and BMI as the high import factors in OSAS. Conclusion It is possible to provide patient with prescreening by body parameters which can pre-evaluate the health risks. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=apnea%20and%20hypopnea%20index" title="apnea and hypopnea index">apnea and hypopnea index</a>, <a href="https://publications.waset.org/abstracts/search?q=Body%20parameters" title=" Body parameters"> Body parameters</a>, <a href="https://publications.waset.org/abstracts/search?q=obstructive%20sleep%20apnea%20syndrome" title=" obstructive sleep apnea syndrome"> obstructive sleep apnea syndrome</a>, <a href="https://publications.waset.org/abstracts/search?q=Random%20Forest" title=" Random Forest"> Random Forest</a> </p> <a href="https://publications.waset.org/abstracts/95815/classification-for-obstructive-sleep-apnea-syndrome-based-on-random-forest" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/95815.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">153</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">354</span> Hypoglossal Nerve Stimulation (Baseline vs. 12 months) for Obstructive Sleep Apnea: A Meta-Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yasmeen%20Jamal%20Alabdallat">Yasmeen Jamal Alabdallat</a>, <a href="https://publications.waset.org/abstracts/search?q=Almutazballlah%20Bassam%20Qablan"> Almutazballlah Bassam Qablan</a>, <a href="https://publications.waset.org/abstracts/search?q=Hamza%20Al-Salhi"> Hamza Al-Salhi</a>, <a href="https://publications.waset.org/abstracts/search?q=Salameh%20Alarood"> Salameh Alarood</a>, <a href="https://publications.waset.org/abstracts/search?q=Ibraheem%20Alkhawaldeh"> Ibraheem Alkhawaldeh</a>, <a href="https://publications.waset.org/abstracts/search?q=Obada%20Abunar"> Obada Abunar</a>, <a href="https://publications.waset.org/abstracts/search?q=Adam%20Abdallah"> Adam Abdallah</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Obstructive sleep apnea (OSA) is a disorder caused by the repeated collapse of the upper airway during sleep. It is the most common cause of sleep-related breathing disorder, as OSA can cause loud snoring, daytime fatigue, or more severe problems such as high blood pressure, cardiovascular disease, coronary artery disease, insulin-resistant diabetes, and depression. The hypoglossal nerve stimulator (HNS) is an implantable medical device that reduces the occurrence of obstructive sleep apnea by electrically stimulating the hypoglossal nerve in rhythm with the patient's breathing, causing the tongue to move. This stimulation helps keep the patient's airways clear while they sleep. This systematic review and meta-analysis aimed to assess the clinical outcome of hypoglossal nerve stimulation as a treatment of obstructive sleep apnea. A computer literature search of PubMed, Scopus, Web of Science, and Cochrane Central Register of Controlled Trials was conducted from inception until August 2022. Studies assessing the following clinical outcomes (Apnea-Hypopnea Index (AHI), Epworth Sleepiness Scale (ESS), Functional Outcomes of Sleep Questionnaire (FOSQ), Oxygen Desaturation Indices (ODI), (Oxygen Saturation (SaO2)) were pooled in the meta-analysis using Review Manager Software. We assessed the quality of studies according to the Cochrane risk-of-bias tool for randomized trials (RoB2), Risk of Bias In Non-randomized Studies - of Interventions (ROBINS-I), and a modified version of NOS for the non-comparative cohort studies.13 Studies (Six Clinical Trials and Seven prospective cohort studies) with a total of 817 patients were included in the meta-analysis. The results of AHI were reported in 11 studies examining OSA 696 patients. We found that there was a significant improvement in the AHI after 12 months of HNS (MD = 18.2 with 95% CI, (16.7 to 19.7; I2 = 0%); P < 0.00001). Further, 12 studies reported the results of ESS after 12 months of intervention with a significant improvement in the range of sleepiness among the examined 757 OSA patients (MD = 5.3 with 95% CI, (4.75 to 5.86; I2 = 65%); P < 0.0001). Moreover, nine studies involving 699 participants reported the results of FOSQ after 12 months of HNS with a significant reported improvement (MD = -3.09 with 95% CI, (-3.41 to 2.77; I2 = 0%); P < 0.00001). In addition, ten studies reported the results of ODI with a significant improvement after 12 months of HNS among the 817 examined patients (MD = 14.8 with 95% CI, (13.25 to 16.32; I2 = 0%); P < 000001). The Hypoglossal Nerve Stimulation showed a significant positive impact on obstructive sleep apnea patients after 12 months of therapy in terms of apnea-hypopnea index, oxygen desaturation indices, manifestations of the behavioral morbidity associated with obstructive sleep apnea, and functional status resulting from sleepiness. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=apnea" title="apnea">apnea</a>, <a href="https://publications.waset.org/abstracts/search?q=meta-analysis" title=" meta-analysis"> meta-analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=hypoglossal" title=" hypoglossal"> hypoglossal</a>, <a href="https://publications.waset.org/abstracts/search?q=stimulation" title=" stimulation"> stimulation</a> </p> <a href="https://publications.waset.org/abstracts/154911/hypoglossal-nerve-stimulation-baseline-vs-12-months-for-obstructive-sleep-apnea-a-meta-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/154911.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">114</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">353</span> Anatomically-Based Oropharyngeal Rehabilitation for the Patients with Obstructive Sleep Apnea Using a Multilevel Approach </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hsin-Yu%20Lin">Hsin-Yu Lin</a>, <a href="https://publications.waset.org/abstracts/search?q=Ching-Hsia%20Hung"> Ching-Hsia Hung </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Obstructive sleep apnea (OSA) is characterized by a complete or partial obstruction of the upper airway during sleep. The vulnerable sites of upper airway collapses are consequences of sleep state-dependent reductions in tone in speciﬁc pharyngeal dilators. Clinical examinations reveal multilevel collapses of the upper airway among the patients with OSA. Therefore, an anatomically-based oropharyngeal rehabilitation should comprise a multilevel approach, including retropalatal, retroglossal, hypopharyngeal, temporomandibular, and facial levels, all of which involve different muscle groups and contribute to multifunctional interaction and coordination, such as swallowing, breathing, and phonation. The purpose of the study was to exam the effects of this rehabilitation program with a multilevel approach. In this study, fifteen subjects with newly diagnosed moderate or severe OSA (Apnea-Hypopnea-Index≥15) were randomized into an intervention group and control group. The intervention group (N=8) underwent a 12-week-intervention of a hospital-based rehabilitation program, while the control group (N=7) was kept on the waiting list. The 12-week-intervention comprised an anatomically based multilevel approach. The primary outcome was Polysomnography (PSG) data, and the secondary outcome was oropharyngeal and respiratory muscle function. In the intervention group, Apnea-Hypopnea-Index significantly improved (46.96±19.45 versus 32.78±10.78 events/h, p=0.017) compared with control group (35.77±17.49 versus 42.96±17.32 events/h, p=0.043). While the control group remained no change, the intervention group demonstrated other PSG outcomes significantly improvement, including arousal index (46.04±18.9 versus 32.98±8.35/h, p=0.035), mean SpO2 (92.88±2.1 versus 94.13±1.46%, p=0.039). Besides, the intervention group demonstrated significant improvement in oropharyngeal and respiratory muscle function compared to the control group. This anatomically-based oropharyngeal rehabilitation with a multilevel approach can be proven as a non-invasive therapy for patients with OSA. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=obstructive%20sleep%20apnea" title="obstructive sleep apnea">obstructive sleep apnea</a>, <a href="https://publications.waset.org/abstracts/search?q=upper%20airway" title=" upper airway"> upper airway</a>, <a href="https://publications.waset.org/abstracts/search?q=oropharyngeal%20rehabilitation" title=" oropharyngeal rehabilitation"> oropharyngeal rehabilitation</a>, <a href="https://publications.waset.org/abstracts/search?q=multilevel%20approach" title=" multilevel approach"> multilevel approach</a> </p> <a href="https://publications.waset.org/abstracts/116238/anatomically-based-oropharyngeal-rehabilitation-for-the-patients-with-obstructive-sleep-apnea-using-a-multilevel-approach" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/116238.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">102</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">352</span> CFD Simulation of the Pressure Distribution in the Upper Airway of an Obstructive Sleep Apnea Patient</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Christina%20Hagen">Christina Hagen</a>, <a href="https://publications.waset.org/abstracts/search?q=Pragathi%20Kamale%20Gurmurthy"> Pragathi Kamale Gurmurthy</a>, <a href="https://publications.waset.org/abstracts/search?q=Thorsten%20M.%20Buzug"> Thorsten M. Buzug</a> </p> <p class="card-text"><strong>Abstract:</strong></p> CFD simulations are performed in the upper airway of a patient suffering from obstructive sleep apnea (OSA) that is a sleep related breathing disorder characterized by repetitive partial or complete closures of the upper airways. The simulations are aimed at getting a better understanding of the pathophysiological flow patterns in an OSA patient. The simulation is compared to medical data of a sleep endoscopic examination under sedation. A digital model consisting of surface triangles of the upper airway is extracted from the MR images by a region growing segmentation process and is followed by a careful manual refinement. The computational domain includes the nasal cavity with the nostrils as the inlet areas and the pharyngeal volume with an outlet underneath the larynx. At the nostrils a flat inflow velocity profile is prescribed by choosing the velocity such that a volume flow rate of 150 ml/s is reached. Behind the larynx at the outlet a pressure of -10 Pa is prescribed. The stationary incompressible Navier-Stokes equations are numerically solved using finite elements. A grid convergence study has been performed. The results show an amplification of the maximal velocity of about 2.5 times the inlet velocity at a constriction of the pharyngeal volume in the area of the tongue. It is the same region that also shows the highest pressure drop from about 5 Pa. This is in agreement with the sleep endoscopic examinations of the same patient under sedation showing complete contractions in the area of the tongue. CFD simulations can become a useful tool in the diagnosis and therapy of obstructive sleep apnea by giving insight into the patient’s individual fluid dynamical situation in the upper airways giving a better understanding of the disease where experimental measurements are not feasible. Within this study, it could been shown on one hand that constriction areas within the upper airway lead to a significant pressure drop and on the other hand a good agreement of the area of pressure drop and the area of contraction could be shown. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=biomedical%20engineering" title="biomedical engineering">biomedical engineering</a>, <a href="https://publications.waset.org/abstracts/search?q=obstructive%20sleep%20apnea" title=" obstructive sleep apnea"> obstructive sleep apnea</a>, <a href="https://publications.waset.org/abstracts/search?q=pharynx" title=" pharynx"> pharynx</a>, <a href="https://publications.waset.org/abstracts/search?q=upper%20airways" title=" upper airways"> upper airways</a> </p> <a href="https://publications.waset.org/abstracts/67739/cfd-simulation-of-the-pressure-distribution-in-the-upper-airway-of-an-obstructive-sleep-apnea-patient" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/67739.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">306</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">351</span> The Effect of Surgical Intervention on Pediatric and Adolescent Obstructive Sleep Apnea Syndrome</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ching-Yi%20Yiu">Ching-Yi Yiu</a>, <a href="https://publications.waset.org/abstracts/search?q=Hui-Chen%20Hsu"> Hui-Chen Hsu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Objectives: Obstructive sleep apnea syndrome (OSAS) is a popular problem in the modern society. It usually leads to sleep disorder, excessive daytime sleepiness and associated with cardiovascular diseases, cognitive dysfunction and even death. The nonsurgical therapies include continuous positive airway pressure (CPAP), diet and oral appliances. The surgical approaches have nasal surgery, tonsillectomy, adenoidectomy, uvulopalatopharyngoplasty (UPPP) and transoral robotic surgery (TORS).We compare the impact of surgical treatments on these kinds of patients. Methods: Between January 2018 to September 2022, We have enrolled 125 OSAS patients including 82 male and 43 female in Chi Mei Medical Center, Liouying, Taiwan. The age distribution from 6 to 71 years old (y/o) with mean age 36.1 y/o. The averaged body mass index (BMI) is 25 kg/m2 in male and 25.5 kg/m2 in female. In this cohort, we evaluated their upper airway obstruction sites with nasopharyngoscopy and scheduled a planned surgery. Some of cases received polysomnography (PSG) preoperatively, the averaged apnea-hypopnea index (AHI) is 37.7 events/hour. We have 68 patients received tonsillectomy, 9 received UPPP, 42 received UPPP and septomeatoplasty (SMP) and 6 received adenoidectomy and tonsillectomy (A and T). The subjective daytime sleepiness was evaluated with the Epworth sleepiness scale (ESS). Results: In the 68 tonsillectomy group, the averaged BMI is 24.9 kg/m2. In the UPPP group, the averaged BMI is 28.9 kg/m2. In UPPP and SMP group, the averaged BMI is 27.9 kg/m2. In the A and T group, the averaged BMI is 17.2 kg/m2. The reduction of AHI less than 20 is 58% postoperatively. The ESS reduced from 10.9 to 4.9 after surgery. Conclusion: Obstructive sleep apnea syndrome is a common upper airway disturbance in the general population. The prevalence rate is ranging high depending on different regions, age, sex and race. It leads to severe morbidity and mortality including car accident, stroke, nocturnal desaand sudden death and should be considered to be a major public health problem. The CPAP is effective to improve daytime sleepiness but the long-term compliance is low. The surgical treatment with different modalities can produce 50% decrease in AHI and ESS after surgery in the 6 to 12 months short-term period. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=apnea-hypopnea%20index" title="apnea-hypopnea index">apnea-hypopnea index</a>, <a href="https://publications.waset.org/abstracts/search?q=obstructive%20sleep%20apnea%20syndrome" title=" obstructive sleep apnea syndrome"> obstructive sleep apnea syndrome</a>, <a href="https://publications.waset.org/abstracts/search?q=polysomnography" title=" polysomnography"> polysomnography</a>, <a href="https://publications.waset.org/abstracts/search?q=uvulopalatopharyngoplasty" title=" uvulopalatopharyngoplasty"> uvulopalatopharyngoplasty</a> </p> <a href="https://publications.waset.org/abstracts/160927/the-effect-of-surgical-intervention-on-pediatric-and-adolescent-obstructive-sleep-apnea-syndrome" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/160927.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">95</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">350</span> Gender-Specific Association between Obstructive Sleep Apnea and Cognitive Impairment among Adults: A Population-based UK Biobank Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ke%20Qiu">Ke Qiu</a>, <a href="https://publications.waset.org/abstracts/search?q=Minzi%20Mao"> Minzi Mao</a>, <a href="https://publications.waset.org/abstracts/search?q=Jianjun%20Ren"> Jianjun Ren</a>, <a href="https://publications.waset.org/abstracts/search?q=Yu%20Zhao"> Yu Zhao</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Although much has been done to investigate the influence of obstructive sleep apnea (OSA) on cognitive function, little attention has been paid to the role which gender differences play in this association. In the present study, we aim to explore the gender-specific association between OSA and cognitive impairment. Participants from UK biobank who have completed at least one of the five baseline cognitive tests (visuospatial memory, prospective memory, fluid intelligence, short numeric memory and reaction time) were included and were further categorized into three groups: (1) OSA, (2) self-reported snoring but without OSA, and (3) healthy controls (without OSA or snoring). Multivariable regression analysis was performed to examine the associations among snoring, OSA and performance of each of the five cognitive domains. A total of 267,889 participants (47% male, mean age: 57 years old) were included in our study. In the multivariable regression analysis, female participants in the OSA group had a higher risk of having poor prospective memory (OR: 1.24, 95% CI: 1.02～1.50, p = 0.03). Meanwhile, among female participants, OSA were inversely associated with the performances of fluid intelligence (β: -0.29, 95% CI: -0.46～-0.13, p < 0.001) and short-numeric memory (β: -0.14, 95% CI: -0.35～0.08, p = 0.02). In contrast, among male participants, no significant association was observed between OSA and impairment of the five cognitive domains. Overall, OSA was significantly associated with cognitive impairment in female participants rather than in male participants, indicating that more special attention and timely interventions should be given to female OSA patients to prevent further cognitive impairment. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=obstructive%20sleep%20apnea%20%28OSA%29" title="obstructive sleep apnea (OSA)">obstructive sleep apnea (OSA)</a>, <a href="https://publications.waset.org/abstracts/search?q=cognitive%20impairment" title=" cognitive impairment"> cognitive impairment</a>, <a href="https://publications.waset.org/abstracts/search?q=gender-specific%20association" title=" gender-specific association"> gender-specific association</a>, <a href="https://publications.waset.org/abstracts/search?q=UK%20biobank" title=" UK biobank"> UK biobank</a> </p> <a href="https://publications.waset.org/abstracts/145230/gender-specific-association-between-obstructive-sleep-apnea-and-cognitive-impairment-among-adults-a-population-based-uk-biobank-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/145230.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">150</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">349</span> The Role of Dentists in the Management of Obstructive Sleep Apnoea</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=David%20Parmenter">David Parmenter</a>, <a href="https://publications.waset.org/abstracts/search?q=Brian%20Millar"> Brian Millar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Obstructive sleep apnoea is a common condition which is generally under-diagnosed. Poorly managed obstructive sleep apnoea carries serious health risks and can greatly impact on the sufferer's quality of life. This publication covers the aetiology, symptoms, and treatment of sleep apnoea. The treatment of Obstructive Sleep Apnoea is an emerging field, and the useful role of the Dental Team is relatively unknown, therefor this paper will highlight the role of the dental team in its treatment. The concept of mandibular advancement appliances, along with the clinical and laboratory stages for constructing them, are documented. It is the hope of the author that this publication will educate healthcare professionals on the role of dental practitioners in the multidisciplinary team for treating sleep apnoea. Objective: Individuals should be more aware of the demographic of patients at risk of sleep apnoea, how it is diagnosed and which group of sleep apnoea patients are suitable to refer for mandibular appliance therapy. Individuals should also be aware of what a mandibular advancement appliance is and how it helps treat obstructive sleep apnoea. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=sleep%20apnoea" title="sleep apnoea">sleep apnoea</a>, <a href="https://publications.waset.org/abstracts/search?q=snoring" title=" snoring"> snoring</a>, <a href="https://publications.waset.org/abstracts/search?q=sleep%20appliances" title=" sleep appliances"> sleep appliances</a>, <a href="https://publications.waset.org/abstracts/search?q=mandibular%20advancement%20appliance" title=" mandibular advancement appliance"> mandibular advancement appliance</a> </p> <a href="https://publications.waset.org/abstracts/157775/the-role-of-dentists-in-the-management-of-obstructive-sleep-apnoea" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/157775.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">108</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">348</span> Cardiotrophin-1 and Leptin in Male Patients with Obstructive Sleep Apnea Syndrome</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Isil%20Cakir">Isil Cakir</a>, <a href="https://publications.waset.org/abstracts/search?q=Mustafa%20Uluhan"> Mustafa Uluhan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Elevated serum Cardiotrophin-1 (CT-1) and leptin levels are important risk factors for cardiovascular diseases (CVDs). Obstructive sleep apnea syndrome (OSAS) has been reported to increase the risk of CVDs, too. The aim of this study was to evaluate the concentrations of serum CT-1 and leptin in these patients and whether their possible association with the disease severity. Fifty newly diagnosed patients with OSAS and thirty nonapneic snoring subjects were participated in this study. The mean ages of patients and control groups were 47.40±13.30 and 43.23±10.50 years, respectively (P=0.128). Fasting serum triglyseride, total cholesterol, LDL and HDL cholesterol, also CT-1 and leptin levels were evaluated. A significant difference was found in the serum CT-1 and leptin levels between the patients and the controls:serum median CT-1 levels in patients and control groups, respectively, were 19.47 and 8.23 pg/mL (P < 0.001) and leptin levels were 2.07 and 1.29 ng/mL (P < 0.001). In severe patients group (n=39), serum median CT-1 level was found statistically significantly higher than the median level in mild/moderate patients (n=11) group. Patients CT-1 concentrations were not associated with lipoprotein levels and there was no correlation between patients’ leptin and lipid profile parameters. Two risk factors for CVDs, CT-1 and leptin, have significantly elevated and they were associated with OSAS. Furthermore, CT-1 was associated with the severity of disease. We recommend the use of increased serum CT-1 and leptin concentrations as markers of the presence and severity of OSAS.They can be used as early markers in male OSAS patients without known CVDs. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=obstructive%20sleep%20apnea%20syndrome" title="obstructive sleep apnea syndrome">obstructive sleep apnea syndrome</a>, <a href="https://publications.waset.org/abstracts/search?q=cardiotrophin-1" title=" cardiotrophin-1"> cardiotrophin-1</a>, <a href="https://publications.waset.org/abstracts/search?q=leptin" title=" leptin"> leptin</a>, <a href="https://publications.waset.org/abstracts/search?q=cardiovascular%20disease" title=" cardiovascular disease"> cardiovascular disease</a> </p> <a href="https://publications.waset.org/abstracts/79762/cardiotrophin-1-and-leptin-in-male-patients-with-obstructive-sleep-apnea-syndrome" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/79762.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">271</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">347</span> Experimental Validation of Computational Fluid Dynamics Used for Pharyngeal Flow Patterns during Obstructive Sleep Apnea</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Pragathi%20Gurumurthy">Pragathi Gurumurthy</a>, <a href="https://publications.waset.org/abstracts/search?q=Christina%20Hagen"> Christina Hagen</a>, <a href="https://publications.waset.org/abstracts/search?q=Patricia%20Ulloa"> Patricia Ulloa</a>, <a href="https://publications.waset.org/abstracts/search?q=Martin%20A.%20Koch"> Martin A. Koch</a>, <a href="https://publications.waset.org/abstracts/search?q=Thorsten%20M.%20Buzug"> Thorsten M. Buzug</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Obstructive sleep apnea (OSA) is a sleep disorder where the patient suffers a disturbed airflow during sleep due to partial or complete occlusion of the pharyngeal airway. Recently, numerical simulations have been used to better understand the mechanism of pharyngeal collapse. However, to gain confidence in the solutions so obtained, an experimental validation is required. Therefore, in this study an experimental validation of computational fluid dynamics (CFD) used for the study of human pharyngeal flow patterns during OSA is performed. A stationary incompressible Navier-Stokes equation solved using the finite element method was used to numerically study the flow patterns in a computed tomography-based human pharynx model. The inlet flow rate was set to 250 ml/s and such that a flat profile was maintained at the inlet. The outlet pressure was set to 0 Pa. The experimental technique used for the validation of CFD of fluid flow patterns is phase contrast-MRI (PC-MRI). Using the same computed tomography data of the human pharynx as in the simulations, a phantom for the experiment was 3 D printed. Glycerol (55.27% weight) in water was used as a test fluid at 25°C. Inflow conditions similar to the CFD study were simulated using an MRI compatible flow pump (CardioFlow-5000MR, Shelley Medical Imaging Technologies). The entire experiment was done on a 3 T MR system (Ingenia, Philips) with 108 channel body coil using an RF-spoiled, gradient echo sequence. A comparison of the axial velocity obtained in the pharynx from the numerical simulations and PC-MRI shows good agreement. The region of jet impingement and recirculation also coincide, therefore validating the numerical simulations. Hence, the experimental validation proves the reliability and correctness of the numerical simulations. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=computational%20fluid%20dynamics" title="computational fluid dynamics">computational fluid dynamics</a>, <a href="https://publications.waset.org/abstracts/search?q=experimental%20validation" title=" experimental validation"> experimental validation</a>, <a href="https://publications.waset.org/abstracts/search?q=phase%20contrast-MRI" title=" phase contrast-MRI"> phase contrast-MRI</a>, <a href="https://publications.waset.org/abstracts/search?q=obstructive%20sleep%20apnea" title=" obstructive sleep apnea"> obstructive sleep apnea</a> </p> <a href="https://publications.waset.org/abstracts/67911/experimental-validation-of-computational-fluid-dynamics-used-for-pharyngeal-flow-patterns-during-obstructive-sleep-apnea" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/67911.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">311</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">346</span> A Real-Time Snore Detector Using Neural Networks and Selected Sound Features</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Stelios%20A.%20Mitilineos">Stelios A. Mitilineos</a>, <a href="https://publications.waset.org/abstracts/search?q=Nicolas-Alexander%20Tatlas"> Nicolas-Alexander Tatlas</a>, <a href="https://publications.waset.org/abstracts/search?q=Georgia%20Korompili"> Georgia Korompili</a>, <a href="https://publications.waset.org/abstracts/search?q=Lampros%20Kokkalas"> Lampros Kokkalas</a>, <a href="https://publications.waset.org/abstracts/search?q=Stelios%20M.%20Potirakis"> Stelios M. Potirakis</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Obstructive Sleep Apnea Hypopnea Syndrome (OSAHS) is a widespread chronic disease that mostly remains undetected, mainly due to the fact that it is diagnosed via polysomnography which is a time and resource-intensive procedure. Screening the disease’s symptoms at home could be used as an alternative approach in order to alert individuals that potentially suffer from OSAHS without compromising their everyday routine. Since snoring is usually linked to OSAHS, developing a snore detector is appealing as an enabling technology for screening OSAHS at home using ubiquitous equipment like commodity microphones (included in, e.g., smartphones). In this context, this study developed a snore detection tool and herein present the approach and selection of specific sound features that discriminate snoring vs. environmental sounds, as well as the performance of the proposed tool. Furthermore, a Real-Time Snore Detector (RTSD) is built upon the snore detection tool and employed in whole-night sleep sound recordings resulting to a large dataset of snoring sound excerpts that are made freely available to the public. The RTSD may be used either as a stand-alone tool that offers insight to an individual’s sleep quality or as an independent component of OSAHS screening applications in future developments. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=obstructive%20sleep%20apnea%20hypopnea%20syndrome" title="obstructive sleep apnea hypopnea syndrome">obstructive sleep apnea hypopnea syndrome</a>, <a href="https://publications.waset.org/abstracts/search?q=apnea%20screening" title=" apnea screening"> apnea screening</a>, <a href="https://publications.waset.org/abstracts/search?q=snoring%20detection" title=" snoring detection"> snoring detection</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=neural%20networks" title=" neural networks"> neural networks</a> </p> <a href="https://publications.waset.org/abstracts/139343/a-real-time-snore-detector-using-neural-networks-and-selected-sound-features" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/139343.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">207</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">345</span> Diagnosis and Treatment of Sleep Disorders</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Andrew%20Anis%20Fakhrey%20Mosaad">Andrew Anis Fakhrey Mosaad</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Introduction: There are many different types of sleep disorders, each with serious implications for a person's health and a large financial burden on society. Method: This review offers a framework based on the International Classification of Sleep Disorders to aid in the diagnosis and treatment of sleep disorders. Differentiating between primary and secondary insomnia is covered, along with pharmacological and nonpharmacological therapy options. Common abnormalities of the circadian rhythm are mentioned along with their therapies, such as light therapy and chronotherapy. This article discusses the identification and management of periodic limb movement disorder and restless legs syndrome. The therapy of upper airway resistance syndrome and obstructive sleep apnea are the main topics of discussion. Conclusion: The range of narcolepsy symptoms and results, as well as diagnostic procedures and treatment, are discussed. The causes, outcomes, and treatments of many types of insomnias, such as sleep terrors, somnambulism, and rapid eye movement (REM) behavior sleep disorders, are discussed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=diagnosis" title="diagnosis">diagnosis</a>, <a href="https://publications.waset.org/abstracts/search?q=treatment" title=" treatment"> treatment</a>, <a href="https://publications.waset.org/abstracts/search?q=sleep%20disorders" title=" sleep disorders"> sleep disorders</a>, <a href="https://publications.waset.org/abstracts/search?q=insomnia" title=" insomnia"> insomnia</a> </p> <a href="https://publications.waset.org/abstracts/184598/diagnosis-and-treatment-of-sleep-disorders" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/184598.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">62</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">344</span> The Role of Rapid Maxillary Expansion in Managing Obstructive Sleep Apnea in Children: A Literature Review</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Suleman%20Maliha">Suleman Maliha</a>, <a href="https://publications.waset.org/abstracts/search?q=Suleman%20Sidra"> Suleman Sidra</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Obstructive sleep apnea (OSA) is a sleep disorder that can result in behavioral and psychomotor impairments in children. The classical treatment modalities for OSA have been continuous positive airway pressure and adenotonsillectomy. However, orthodontic intervention through rapid maxillary expansion (RME) has also been commonly used to manage skeletal transverse maxillary discrepancies. Aim and objectives: The aim of this study is to determine the efficacy of rapid maxillary expansion in paediatric patients with obstructive sleep apnea by assessing pre and post-treatment mean apnea-hypopnea index (AHI) and oxygen saturations. Methodology: Literature was identified through a rigorous search of the Embase, Pubmed, and CINAHL databases. Articles published from 2012 onwards were selected. The inclusion criteria consisted of patients aged 18 years and under with no systemic disease, adenotonsillar surgery, or hypertrophy who are undergoing RME with AHI measurements before and after treatment. In total, six suitable papers were identified. Results: Three studies assessed patients pre and post-RME at 12 months. The first study consisted of 15 patients with an average age of 7.5 years. Following treatment, they found that RME resulted in both higher oxygen saturations (+ 5.3%) and improved AHI (- 4.2 events). The second study assessed 11 patients aged 5–8 years and also noted improvements, with mean AHI reduction from 6.1 to 2.4 and oxygen saturations increasing from 93.1% to 96.8%. The third study reviewed 14 patients aged 6–9 years and similarly found an AHI reduction from 5.7 to 4.4 and an oxygen saturation increase from 89.8% to 95.5%. All modifications noted in these studies were statistically significant. A long-term study reviewed 23 patients aged 6–12 years post-RME treatment on an annual basis for 12 years. They found that the mean AHI reduced from 12.2 to 0.4, with improved oxygen saturations from 78.9% to 95.1%. Another study assessed 19 patients aged 9-12 years at two months into RME and four months post-treatment. Improvements were also noted at both stages, with an overall reduction of the mean AHI from 16.3 to 0.8 and an overall increase in oxygen saturations from 77.9% to 95.4%. The final study assessed 26 children aged 7-11 years on completion of individual treatment and found an AHI reduction from 6.9 to 5.3. However, the oxygen saturation remained stagnant at 96.0%, but this was not clinically significant. Conclusion: Overall, the current evidence suggests that RME is a promising treatment option for paediatric patients with OSA. It can provide efficient and conservative treatment; however, early diagnosis is crucial. As there are various factors that could be contributing to OSA, it is important that each case is treated on its individual merits. Going forward, there is a need for more randomized control trials with larger cohorts being studied. Research into the long-term effects of RME and potential relapse amongst cases would also be useful. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=orthodontics" title="orthodontics">orthodontics</a>, <a href="https://publications.waset.org/abstracts/search?q=sleep%20apnea" title=" sleep apnea"> sleep apnea</a>, <a href="https://publications.waset.org/abstracts/search?q=maxillary%20expansion" title=" maxillary expansion"> maxillary expansion</a>, <a href="https://publications.waset.org/abstracts/search?q=review" title=" review"> review</a> </p> <a href="https://publications.waset.org/abstracts/157849/the-role-of-rapid-maxillary-expansion-in-managing-obstructive-sleep-apnea-in-children-a-literature-review" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/157849.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">82</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">343</span> Efficacy of the ExVent Accessory with the O2Vent Optima Oral Appliance in the Treatment of Obstructive Sleep Apnea: A Clinical Trial</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sat%20Sharma">Sat Sharma</a>, <a href="https://publications.waset.org/abstracts/search?q=Antonella%20Conflitti"> Antonella Conflitti</a>, <a href="https://publications.waset.org/abstracts/search?q=Hilary%20Reiter"> Hilary Reiter</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Introduction: The study's purpose was to assess the efficacy of the oral appliance device O2Vent Optima + ExVent as compared to Optima in the treatment of OSA. Methods: A prospective, open-label study conducted at 3 sites included subjects with mild to moderate OSA (AHI ≥ 5 and ≤ 30). Screening Phase: A diagnostic in-lab PSG study was performed to confirm a diagnosis of mild to moderate OSA. Treatment I: Subjects used O2Vent Optima for 6 weeks and underwent an in-lab PSG sleep night while using the O2Vent Optima. Treatment II: Subjects used O2Vent Optima + ExVent for 6 weeks and underwent an in-lab PSG sleep night while using the O2Vent Optima + ExVent Primary Effectiveness Measure: Change in AHI between baseline vs. O2Vent Optima MAD vs. O2Vent Optima + ExVent. Results: Treatment with Optima, Optima + ExVent reduced AHI from 22.5±6.4/hr to 12.6±4.5/hr to 5.9±2.7 (p< 0.005 baseline vs. Optima and Optima + ExVent; p<0.05 Optima MAD vs. Optima + ExVent). The average reduction in AHI with Optima was 43%, and with Optima + ExVent was 72%. The lowest oxygen during sleep increased from 84.6±2.7% to 88.6±2.9% to 91.6±3.2% (p< 0.005 baseline vs. Optima and Optima + ExVent; p<0.05 Optima vs. Optima + ExVent). During the trial, patients on treatment with Optima and Optima + ExVent demonstrated no excessive adverse events or device malfunction. Conclusion: Treatment with O2Vent Optima and O2Vent Optima + ExVent significantly improved OSA compared to the baseline. An even greater benefit was observed with the addition of ExVent to the Optima in mild to moderate OSA. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=oral%20appliance" title="oral appliance">oral appliance</a>, <a href="https://publications.waset.org/abstracts/search?q=O2Vent" title=" O2Vent"> O2Vent</a>, <a href="https://publications.waset.org/abstracts/search?q=sleep%20dentistry" title=" sleep dentistry"> sleep dentistry</a>, <a href="https://publications.waset.org/abstracts/search?q=sleep%20apnea" title=" sleep apnea"> sleep apnea</a> </p> <a href="https://publications.waset.org/abstracts/167754/efficacy-of-the-exvent-accessory-with-the-o2vent-optima-oral-appliance-in-the-treatment-of-obstructive-sleep-apnea-a-clinical-trial" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/167754.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">64</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">342</span> Sleep Apnea Hypopnea Syndrom Diagnosis Using Advanced ANN Techniques</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sachin%20Singh">Sachin Singh</a>, <a href="https://publications.waset.org/abstracts/search?q=Thomas%20Penzel"> Thomas Penzel</a>, <a href="https://publications.waset.org/abstracts/search?q=Dinesh%20Nandan"> Dinesh Nandan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Accurate identification of Sleep Apnea Hypopnea Syndrom Diagnosis is difficult problem for human expert because of variability among persons and unwanted noise. This paper proposes the diagonosis of Sleep Apnea Hypopnea Syndrome (SAHS) using airflow, ECG, Pulse and SaO2 signals. The features of each type of these signals are extracted using statistical methods and ANN learning methods. These extracted features are used to approximate the patient's Apnea Hypopnea Index(AHI) using sample signals in model. Advance signal processing is also applied to snore sound signal to locate snore event and SaO2 signal is used to support whether determined snore event is true or noise. Finally, Apnea Hypopnea Index (AHI) event is calculated as per true snore event detected. Experiment results shows that the sensitivity can reach up to 96% and specificity to 96% as AHI greater than equal to 5. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=neural%20network" title="neural network">neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=AHI" title=" AHI"> AHI</a>, <a href="https://publications.waset.org/abstracts/search?q=statistical%20methods" title=" statistical methods"> statistical methods</a>, <a href="https://publications.waset.org/abstracts/search?q=autoregressive%20models" title=" autoregressive models"> autoregressive models</a> </p> <a href="https://publications.waset.org/abstracts/118581/sleep-apnea-hypopnea-syndrom-diagnosis-using-advanced-ann-techniques" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/118581.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">119</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">341</span> Effects of Low Sleep Efficiency and Sleep Deprivation on Driver Physical Fatigue</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chen-Yu%20%20Tsai">Chen-Yu Tsai</a>, <a href="https://publications.waset.org/abstracts/search?q=Wen-Te%20%20Liu"> Wen-Te Liu</a>, <a href="https://publications.waset.org/abstracts/search?q=Chen-Chen%20%20Lo"> Chen-Chen Lo</a>, <a href="https://publications.waset.org/abstracts/search?q=Kang%20%20Lo"> Kang Lo</a>, <a href="https://publications.waset.org/abstracts/search?q=Yin-Tzu%20%20Lin"> Yin-Tzu Lin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Driving drowsiness related to insufficient or disordered sleep accounts for a major percentage of vehicular accidents. Sleep deprivation is the primary reason related to low sleep efficiency. Nevertheless, the mechanism of sleep deprivation induces driving fatigue to remain unclear. Objective: The objective of this study is to associate the relationship between insufficient sleep efficiency and driving fatigue. Methodologies: The physical condition while driving was obtained from the questionnaires to classify the state of driving fatigue. Sleep efficiency was quantified as the polysomnography (PSG), and the sleep stages were sentenced by the reregistered Technologist during examination in a hospital in New Taipei City (Taiwan). The independent T-test was used to investigate the correlation between sleep efficiency, sleep stages ratio, and driving drowsiness. Results: There were 880 subjects recruited in this study, who had been done polysomnography for evaluating severity for obstructive sleep apnea syndrome (OSAS) as well as completed the driver condition questionnaire. Four-hundred-eighty-four subjects (55%) were classified as fatigue group, and 396 subjects (45%) were served as the control group. The ratio of stage three sleep (N3) (0.032 ± 0.056) in fatigue group were significantly lower than the control group (p < 0.01). The significantly higher value of snoring index (242.14 ± 205.51 /hours) was observed in the fatigue group (p < 0.01). Conclusion: We observe the considerable correlation between deep sleep reduce and driving drowsiness. To avoid drowsy driving, the sleep deprivation, and the snoring events during the sleeping time should be monitored and alleviated. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=driving%20drowsiness" title="driving drowsiness">driving drowsiness</a>, <a href="https://publications.waset.org/abstracts/search?q=sleep%20deprivation" title=" sleep deprivation"> sleep deprivation</a>, <a href="https://publications.waset.org/abstracts/search?q=stage%20three%20sleep" title=" stage three sleep"> stage three sleep</a>, <a href="https://publications.waset.org/abstracts/search?q=snoring%20index" title=" snoring index"> snoring index</a> </p> <a href="https://publications.waset.org/abstracts/110120/effects-of-low-sleep-efficiency-and-sleep-deprivation-on-driver-physical-fatigue" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/110120.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">143</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">340</span> A Method for Evaluating the Mechanical Stress on Mandibular Advancement Devices</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tsung-yin%20Lin">Tsung-yin Lin</a>, <a href="https://publications.waset.org/abstracts/search?q=Yi-yu%20Lee"> Yi-yu Lee</a>, <a href="https://publications.waset.org/abstracts/search?q=Ching-hua%20Hung"> Ching-hua Hung</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Snoring, the lay term for obstructive breathing during sleep, is one of the most prevalent of obnoxious human habits. Loud snoring usually makes others feel noisy and uncomfortable. Snoring also influences the sleep quality of snorers’ bed partners, because of the noise they do not get to sleep easily. Snoring causes the reduce of sleep quality leading to several medical problems, such as excessive daytime sleepiness, high blood pressure, increased risk for cardiovascular disease and cerebral vascular accident, and etc. There are many non-prescription devices offered for sale on the market, but very limited data are available to support a beneficial effect of these devices on snoring and use in treating obstructive sleep apnea (OSA). Mandibular advancement devices (MADs), also termed as the Mandibular reposition devices (MRDs) are removable devices which are worn at night during sleep. Most devices require dental impression, bite registration, and fabrication by a dental laboratory. Those devices are fixed to upper and lower teeth and are adjusted to advance the mandible. The amount of protrusion is adjusted to meet the therapeutic requirements, comfort, and tolerance. Many devices have a fixed degree of advancement. Some are adjustable in a limited degree. This study focuses on the stress analysis of Mandibular Advancement Devices (MADs), which are considered as a standard treatment of snoring that promoted by American Academy of Sleep Medicine (AASM). This paper proposes a new MAD design, and the finite element analysis (FEA) is introduced to precede the stress simulation for this MAD. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=finite%20element%20analysis" title="finite element analysis">finite element analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=mandibular%20advancement%20devices" title=" mandibular advancement devices"> mandibular advancement devices</a>, <a href="https://publications.waset.org/abstracts/search?q=mechanical%20stress" title=" mechanical stress"> mechanical stress</a>, <a href="https://publications.waset.org/abstracts/search?q=snoring" title=" snoring"> snoring</a> </p> <a href="https://publications.waset.org/abstracts/36419/a-method-for-evaluating-the-mechanical-stress-on-mandibular-advancement-devices" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/36419.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">356</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">339</span> Sleep Paralysis: Its Genesis and Qualitative Analysis of Case Histories</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nandita%20Chaube">Nandita Chaube</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20S.%20Nathawat"> S. S. Nathawat</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Sleep paralysis is a state of sleep disturbance in which people experience hypnogogic or hypnopompic hallucinations marked by an inability to move their bodies or speak out while reporting the consciousness about their surroundings. Philosophical explanation of sleep paralysis has been quoted in the ancient texts in terms of incubus and succubus. However, pathologically, it has been linked to several disorders including narcolepsy, migraines, anxiety disorders, and obstructive sleep apnea but it can also occur in isolation. Some other significant factors may include perceived stress, spiritual and paranormal beliefs, etc. Hence, a qualitative analysis of five such cases reporting symptoms of sleep disturbances with the criterion of sleep paralysis has been reported here. The study considered various psychological factors like stressful life events, feelings of inadequacy, spirituality, and paranormal beliefs. Results disclosed that four of the five cases were inclined towards the paranormal beliefs and the entire sample indicated a noticeably augmented level of spirituality and feelings of inadequacy. Furthermore, three cases reported experiencing greater stress following life events. Among other factors, all the cases were characterized with sleeping in the supine position, sleeping alone, an experience of fear, a sense of pressure on their chest, a presence of someone in the room and increased level of feelings of inadequacy. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=genesis" title="genesis">genesis</a>, <a href="https://publications.waset.org/abstracts/search?q=inadequacy" title=" inadequacy"> inadequacy</a>, <a href="https://publications.waset.org/abstracts/search?q=paranormal" title=" paranormal"> paranormal</a>, <a href="https://publications.waset.org/abstracts/search?q=sleep-paralysis" title=" sleep-paralysis"> sleep-paralysis</a>, <a href="https://publications.waset.org/abstracts/search?q=spiritual" title=" spiritual"> spiritual</a>, <a href="https://publications.waset.org/abstracts/search?q=stress" title=" stress"> stress</a> </p> <a href="https://publications.waset.org/abstracts/55086/sleep-paralysis-its-genesis-and-qualitative-analysis-of-case-histories" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/55086.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">246</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">338</span> Translation and Validation of the Thai Version of the Japanese Sleep Questionnaire for Preschoolers</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Natcha%20Lueangapapong">Natcha Lueangapapong</a>, <a href="https://publications.waset.org/abstracts/search?q=Chariya%20Chuthapisith"> Chariya Chuthapisith</a>, <a href="https://publications.waset.org/abstracts/search?q=Lunliya%20Thampratankul"> Lunliya Thampratankul</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: There is a need to find an appropriate tool to help healthcare providers determine sleep problems in children for early diagnosis and management. The Japanese Sleep Questionnaire for Preschoolers (JSQ-P) is a parent-reported sleep questionnaire that has good psychometric properties and can be used in the context of Asian culture, which is likely suitable for Thai children. Objectives: This study aimed to translate and validate the Japanese Sleep Questionnaire for Preschoolers (JSQ-P) into a Thai version and to evaluate factors associated with sleep disorders in preschoolers. Methods: After approval by the original developer, the cross-cultural adaptation process of JSQ-P was performed, including forward translation, reconciliation, backward translation, and final approval of the Thai version of JSQ-P (TH-JSQ-P) by the original creator. This study was conducted between March 2021 and February 2022. The TH-JSQ-P was completed by 2,613 guardians whose children were aged 2-6 years twice in 10-14 days to assess its reliability and validity. Content validity was measured by an index of item-objective congruence (IOC) and a content validity index (CVI). Face validity, content validity, structural validity, construct validity (discriminant validity), criterion validity and predictive validity were assessed. The sensitivity and specificity of the TH-JSQ-P were also measured by using a total JSQ-P score cutoff point 84, recommended by the original JSQ-P and each subscale score among the clinical samples of obstructive sleep apnea syndrome. Results: Internal consistency reliability, evaluated by Cronbach’s α coefficient, showed acceptable reliability in all subscales of JSQ-P. It also had good test-retest reliability, as the intraclass correlation coefficient (ICC) for all items ranged between 0.42-0.84. The content validity was acceptable. For structural validity, our results indicated that the final factor solution for the Th-JSQ-P was comparable to the original JSQ-P. For construct validity, age group was one of the clinical parameters associated with some sleep problems. In detail, parasomnias, insomnia, daytime excessive sleepiness and sleep habits significantly decreased when the children got older; on the other hand, insufficient sleep was significantly increased with age. For criterion validity, all subscales showed a correlation with the Epworth Sleepiness Scale (r = -0.049-0.349). In predictive validity, the Epworth Sleepiness Scale was significantly a strong factor that correlated to sleep problems in all subscales of JSQ-P except in the subscale of sleep habit. The sensitivity and specificity of the total JSQ-P score were 0.72 and 0.66, respectively. Conclusion: The Thai version of JSQ-P has good internal consistency reliability and test-retest reliability. It passed 6 validity tests, and this can be used to evaluate sleep problems in preschool children in Thailand. Furthermore, it has satisfactory general psychometric properties and good reliability and validity. The data collected in examining the sensitivity of the Thai version revealed that the JSQ-P could detect differences in sleep problems among children with obstructive sleep apnea syndrome. This confirmed that the measure is sensitive and can be used to discriminate sleep problems among different children. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=preschooler" title="preschooler">preschooler</a>, <a href="https://publications.waset.org/abstracts/search?q=questionnaire" title=" questionnaire"> questionnaire</a>, <a href="https://publications.waset.org/abstracts/search?q=validation" title=" validation"> validation</a>, <a href="https://publications.waset.org/abstracts/search?q=Thai%20version" title=" Thai version"> Thai version</a> </p> <a href="https://publications.waset.org/abstracts/174543/translation-and-validation-of-the-thai-version-of-the-japanese-sleep-questionnaire-for-preschoolers" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/174543.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">104</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">337</span> Possible Mechanism of DM2 Development in OSA Patients Mediated via Rev-Erb-Alpha and NPAS2 Proteins</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Filip%20Franciszek%20Karuga">Filip Franciszek Karuga</a>, <a href="https://publications.waset.org/abstracts/search?q=Szymon%20Turkiewicz"> Szymon Turkiewicz</a>, <a href="https://publications.waset.org/abstracts/search?q=Marta%20Ditmer"> Marta Ditmer</a>, <a href="https://publications.waset.org/abstracts/search?q=Marcin%20Sochal"> Marcin Sochal</a>, <a href="https://publications.waset.org/abstracts/search?q=Piotr%20Bia%C5%82asiewicz"> Piotr Białasiewicz</a>, <a href="https://publications.waset.org/abstracts/search?q=Agata%20Gabryelska"> Agata Gabryelska</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Circadian rhythm, an internal coordinator of physiological processes is composed of a set of semi-autonomous clocks. Clocks are regulated through the expression of circadian clock genes which form feedback loops, creating an oscillator. The primary loop consists of activators: CLOCK, BMAL1 and repressors: CRY, PER. CLOCK can be substituted by the Neuronal PAS Domain Protein 2 (NPAS2). Orphan nuclear receptor (REV-ERB-α) is a component of the secondary major loop, modulating the expression of BMAL1. Circadian clocks might be disrupted by the obstructive sleep apnea (OSA), which has also been associated with type II diabetes mellitus (DM2). Interestingly, studies suggest that dysregulation of NPAS2 and REV-ERB-α might contribute to the pathophysiology of DM2 as well. The goal of our study was to examine the role of NPAS2 and REV-ERB-α in DM2 in OSA patients. After examination of the clinical data, all participants underwent polysomnography (PSG) to assess their apnea-hypopnea index (AHI). Based on the acquired data participants were assigned to one of 3 groups: OSA (AHI>30, no DM2; n=17 for NPAS2 and 34 for REV-ERB-α), DM2 (AHI>30 + DM2; n=7 for NPAS2 and 15 for REV-ERB-α) and control group (AHI<5, no DM2; n=16 for NPAS2 and 31 for REV-ERB-α). ELISA immunoassay was performed to assess the serum protein level of REV-ERB-α and NPAS2. The only statistically significant difference between groups was observed in NPAS2 protein level (p=0.037). Post-hoc analysis showed significant differences between the OSA and the control group (p=0.017). AHI and NPAS2 level was significantly correlated (r=-0.478, p=0.002) in all groups. A significant correlation was observed between the REV-ERB-α level and sleep efficiency (r=0.617, p=0.005) as well as sleep maintenance efficiency (r=0.645, p=0.003) in the OSA group. We conclude, that NPAS2 is associated with OSA severity and might contribute to metabolic sequelae of this disease. REV-ERB-α on the other hand can influence sleep continuity and efficiency. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=OSA" title="OSA">OSA</a>, <a href="https://publications.waset.org/abstracts/search?q=diabetes%20mellitus" title=" diabetes mellitus"> diabetes mellitus</a>, <a href="https://publications.waset.org/abstracts/search?q=endocrinology" title=" endocrinology"> endocrinology</a>, <a href="https://publications.waset.org/abstracts/search?q=chronobiology" title=" chronobiology"> chronobiology</a> </p> <a href="https://publications.waset.org/abstracts/144640/possible-mechanism-of-dm2-development-in-osa-patients-mediated-via-rev-erb-alpha-and-npas2-proteins" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/144640.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">155</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">336</span> Textile-Based Sensing System for Sleep Apnea Detection</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mary%20S.%20Ruppert-Stroescu">Mary S. Ruppert-Stroescu</a>, <a href="https://publications.waset.org/abstracts/search?q=Minh%20Pham"> Minh Pham</a>, <a href="https://publications.waset.org/abstracts/search?q=Bruce%20Benjamin"> Bruce Benjamin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Sleep apnea is a condition where a person stops breathing and can lead to cardiovascular disease, hypertension, and stroke. In the United States, approximately forty percent of overnight sleep apnea detection tests are cancelled. The purpose of this study was to develop a textile-based sensing system that acquires biometric signals relevant to cardiovascular health, to transmit them wirelessly to a computer, and to quantitatively assess the signals for sleep apnea detection. Patient interviews, literature review and market analysis defined a need for a device that ubiquitously integrated into the patient’s lifestyle. A multi-disciplinary research team of biomedical scientists, apparel designers, and computer engineers collaborated to design a textile-based sensing system that gathers EKG, Sp02, and respiration, then wirelessly transmits the signals to a computer in real time. The electronic components were assembled from existing hardware, the Health Kit which came pre-set with EKG and Sp02 sensors. The respiration belt was purchased separately and its electronics were built and integrated into the Health Kit mother board. Analog ECG signals were amplified and transmitted to the Arduino™ board where the signal was converted from analog into digital. By using textile electrodes, ECG lead-II was collected, and it reflected the electrical activity of the heart. Signals were collected when the subject was in sitting position and at sampling rate of 250 Hz. Because sleep apnea most often occurs in people with obese body types, prototypes were developed for a man’s size medium, XL, and XXL. To test user acceptance and comfort, wear tests were performed on 12 subjects. Results of the wear tests indicate that the knit fabric and t-shirt-like design were acceptable from both lifestyle and comfort perspectives. The airflow signal and respiration signal sensors return good signals regardless of movement intensity. Future study includes reconfiguring the hardware to a smaller size, developing the same type of garment for the female body, and further enhancing the signal quality. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=sleep%20apnea" title="sleep apnea">sleep apnea</a>, <a href="https://publications.waset.org/abstracts/search?q=sensors" title=" sensors"> sensors</a>, <a href="https://publications.waset.org/abstracts/search?q=electronic%20textiles" title=" electronic textiles"> electronic textiles</a>, <a href="https://publications.waset.org/abstracts/search?q=wearables" title=" wearables"> wearables</a> </p> <a href="https://publications.waset.org/abstracts/83334/textile-based-sensing-system-for-sleep-apnea-detection" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/83334.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">274</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">335</span> Wavelet-Based Classification of Myocardial Ischemia, Arrhythmia, Congestive Heart Failure and Sleep Apnea</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Santanu%20Chattopadhyay">Santanu Chattopadhyay</a>, <a href="https://publications.waset.org/abstracts/search?q=Gautam%20Sarkar"> Gautam Sarkar</a>, <a href="https://publications.waset.org/abstracts/search?q=Arabinda%20Das"> Arabinda Das</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents wavelet based classification of various heart diseases. Electrocardiogram signals of different heart patients have been studied. Statistical natures of electrocardiogram signals for different heart diseases have been compared with the statistical nature of electrocardiograms for normal persons. Under this study four different heart diseases have been considered as follows: Myocardial Ischemia (MI), Congestive Heart Failure (CHF), Arrhythmia and Sleep Apnea. Statistical nature of electrocardiograms for each case has been considered in terms of kurtosis values of two types of wavelet coefficients: approximate and detail. Nine wavelet decomposition levels have been considered in each case. Kurtosis corresponding to both approximate and detail coefficients has been considered for decomposition level one to decomposition level nine. Based on significant difference, few decomposition levels have been chosen and then used for classification. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=arrhythmia" title="arrhythmia">arrhythmia</a>, <a href="https://publications.waset.org/abstracts/search?q=congestive%20heart%20failure" title=" congestive heart failure"> congestive heart failure</a>, <a href="https://publications.waset.org/abstracts/search?q=discrete%20wavelet%20transform" title=" discrete wavelet transform"> discrete wavelet transform</a>, <a href="https://publications.waset.org/abstracts/search?q=electrocardiogram" title=" electrocardiogram"> electrocardiogram</a>, <a href="https://publications.waset.org/abstracts/search?q=myocardial%20ischemia" title=" myocardial ischemia"> myocardial ischemia</a>, <a href="https://publications.waset.org/abstracts/search?q=sleep%20apnea" title=" sleep apnea"> sleep apnea</a> </p> <a href="https://publications.waset.org/abstracts/112333/wavelet-based-classification-of-myocardial-ischemia-arrhythmia-congestive-heart-failure-and-sleep-apnea" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/112333.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">134</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">334</span> Relationships of Driver Drowsiness and Sleep-Disordered Breathing Syndrome</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Cheng-Yu%20Tsai">Cheng-Yu Tsai</a>, <a href="https://publications.waset.org/abstracts/search?q=Wen-Te%20Liu"> Wen-Te Liu</a>, <a href="https://publications.waset.org/abstracts/search?q=Yin-Tzu%20Lin"> Yin-Tzu Lin</a>, <a href="https://publications.waset.org/abstracts/search?q=Chen-Chen%20Lo"> Chen-Chen Lo</a>, <a href="https://publications.waset.org/abstracts/search?q=Kang%20Lo"> Kang Lo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Driving drowsiness related to inadequate or disordered sleep accounts for a major percentage of traffic accidents. Sleep-disordered breathing (SDB) syndrome is a common respiratory disorder during sleep. However, the effects of SDB syndrome on driving fatigue remain unclear. Objective: This study aims to investigate the relationship between SDB pattern and driving drowsiness. Methodologies: The physical condition while driving was obtained from the questionnaires to classify the state of driving fatigue. SDB syndrome was quantified as the polysomnography, and the air flow pattern was collected by the thermistor and nasal pressure cannula. To evaluate the desaturation, the mean hourly number of greater than 3% dips in oxygen saturation was sentenced by reregistered technologist during examination in a hospital in New Taipei City (Taiwan). The independent T-test was used to investigate the correlations between sleep disorders related index and driving drowsiness. Results: There were 880 subjects recruited in this study, who had been done polysomnography for evaluating severity for obstructive sleep apnea syndrome (OSAS) as well as completed the driver condition questionnaire. Four-hundred-eighty-four subjects (55%) were classified as fatigue group, and 396 subjects (45%) were served as the control group. Significantly higher values of snoring index (242.14 ± 205.51 /hours) were observed in the fatigue group (p < 0.01). The value of respiratory disturbance index (RDI) (31.82 ± 19.34 /hours) in fatigue group were significantly higher than the control group (p < 0.01). Conclusion: We observe the considerable association between SDB syndrome and driving drowsiness. To promote traffic safety, SDB syndrome should be controlled and alleviated. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=driving%20drowsiness" title="driving drowsiness">driving drowsiness</a>, <a href="https://publications.waset.org/abstracts/search?q=sleep-disordered%20breathing%20syndrome" title=" sleep-disordered breathing syndrome"> sleep-disordered breathing syndrome</a>, <a href="https://publications.waset.org/abstracts/search?q=snoring%20index" title=" snoring index"> snoring index</a>, <a href="https://publications.waset.org/abstracts/search?q=respiratory%20disturbance%20index." title=" respiratory disturbance index."> respiratory disturbance index.</a> </p> <a href="https://publications.waset.org/abstracts/110112/relationships-of-driver-drowsiness-and-sleep-disordered-breathing-syndrome" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/110112.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">140</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">333</span> Using Wearable Device with Neuron Network to Classify Severity of Sleep Disorder</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ru-Yin%20Yang">Ru-Yin Yang</a>, <a href="https://publications.waset.org/abstracts/search?q=Chi%20Wu"> Chi Wu</a>, <a href="https://publications.waset.org/abstracts/search?q=Cheng-Yu%20Tsai"> Cheng-Yu Tsai</a>, <a href="https://publications.waset.org/abstracts/search?q=Yin-Tzu%20Lin"> Yin-Tzu Lin</a>, <a href="https://publications.waset.org/abstracts/search?q=Wen-Te%20Liu"> Wen-Te Liu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Sleep breathing disorder (SDB) is a condition demonstrated by recurrent episodes of the airway obstruction leading to intermittent hypoxia and quality fragmentation during sleep time. However, the procedures for SDB severity examination remain complicated and costly. Objective: The objective of this study is to establish a simplified examination method for SDB by the respiratory impendence pattern sensor combining the signal processing and machine learning model. Methodologies: We records heart rate variability by the electrocardiogram and respiratory pattern by impendence. After the polysomnography (PSG) been done with the diagnosis of SDB by the apnea and hypopnea index (AHI), we calculate the episodes with the absence of flow and arousal index (AI) from device record. Subjects were divided into training and testing groups. Neuron network was used to establish a prediction model to classify the severity of the SDB by the AI, episodes, and body profiles. The performance was evaluated by classification in the testing group compared with PSG. Results: In this study, we enrolled 66 subjects (Male/Female: 37/29; Age:49.9±13.2) with the diagnosis of SDB in a sleep center in Taipei city, Taiwan, from 2015 to 2016. The accuracy from the confusion matrix on the test group by NN is 71.94 %. Conclusion: Based on the models, we established a prediction model for SDB by means of the wearable sensor. With more cases incoming and training, this system may be used to rapidly and automatically screen the risk of SDB in the future. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=sleep%20breathing%20disorder" title="sleep breathing disorder">sleep breathing disorder</a>, <a href="https://publications.waset.org/abstracts/search?q=apnea%20and%20hypopnea%20index" title=" apnea and hypopnea index"> apnea and hypopnea index</a>, <a href="https://publications.waset.org/abstracts/search?q=body%20parameters" title=" body parameters"> body parameters</a>, <a href="https://publications.waset.org/abstracts/search?q=neuron%20network" title=" neuron network"> neuron network</a> </p> <a href="https://publications.waset.org/abstracts/98071/using-wearable-device-with-neuron-network-to-classify-severity-of-sleep-disorder" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/98071.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">150</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">332</span> Development of Sleep Quality Index Using Heart Rate</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dongjoo%20Kim">Dongjoo Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Chang-Sik%20Son"> Chang-Sik Son</a>, <a href="https://publications.waset.org/abstracts/search?q=Won-Seok%20Kang"> Won-Seok Kang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Adequate sleep affects various parts of one’s overall physical and mental life. As one of the methods in determining the appropriate amount of sleep, this research presents a heart rate based sleep quality index. In order to evaluate sleep quality using the heart rate, sleep data from 280 subjects taken over one month are used. Their sleep data are categorized by a three-part heart rate range. After categorizing, some features are extracted, and the statistical significances are verified for these features. The results show that some features of this sleep quality index model have statistical significance. Thus, this heart rate based sleep quality index may be a useful discriminator of sleep. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=sleep" title="sleep">sleep</a>, <a href="https://publications.waset.org/abstracts/search?q=sleep%20quality" title=" sleep quality"> sleep quality</a>, <a href="https://publications.waset.org/abstracts/search?q=heart%20rate" title=" heart rate"> heart rate</a>, <a href="https://publications.waset.org/abstracts/search?q=statistical%20analysis" title=" statistical analysis"> statistical analysis</a> </p> <a href="https://publications.waset.org/abstracts/52817/development-of-sleep-quality-index-using-heart-rate" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/52817.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">340</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">331</span> Acoustic Radiation Force Impulse Elastography of the Hepatic Tissue of Canine Brachycephalic Patients</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20C.%20Facin">A. C. Facin</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20C.%20Maronezi"> M. C. Maronezi </a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20P.%20Menezes"> M. P. Menezes</a>, <a href="https://publications.waset.org/abstracts/search?q=G.%20L.%20Montanhim"> G. L. Montanhim</a>, <a href="https://publications.waset.org/abstracts/search?q=L.%20Pavan"> L. Pavan</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20A.%20R.%20Feliciano"> M. A. R. Feliciano</a>, <a href="https://publications.waset.org/abstracts/search?q=R.%20P.%20Nociti"> R. P. Nociti</a>, <a href="https://publications.waset.org/abstracts/search?q=R.%20A.%20R.%20Uscategui"> R. A. R. Uscategui</a>, <a href="https://publications.waset.org/abstracts/search?q=P.%20C.%20Moraes"> P. C. Moraes</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The incidence of brachycephalic syndrome (BS) in the clinical routine of small animals has increased significantly giving the higher proportion of brachycephalic pets in the last years and has been considered as an animal welfare problem. The treatment of BS is surgical and the clinical signs related can be considerably attenuated. Nevertheless, the systemic effects of the BS are still poorly reported and little is known about these when the surgical correction is not performed early. Affected dogs are more likely to develop cardiopulmonary, gastrointestinal and sleep disorders in which the chronic hypoxemia plays a major role. This syndrome is compared with the obstructive sleep apnea (OSA) in humans, both considered as causes of systemic and metabolic dysfunction. Among the several consequences of the BS little is known if the syndrome also affects the hepatic tissue of brachycephalic patients. Elastography is a promising ultrasound technique that evaluates tissue elasticity and has been recently used with the purpose of diagnosis of liver fibrosis. In medicine, it is a growing concern regarding the hepatic injury of patients affected by OSA. This prospective study hypothesizes if there is any consequence of BS in the hepatic parenchyma of brachycephalic dogs that don’t receive any surgical treatment. This study was conducted following the approval of the Animal Ethics and Welfare Committee of the Faculdade de Ciências Agrárias e Veterinárias, UNESP, Campus Jaboticabal, Brazil (protocol no 17944/2017) and funded by Sao Paulo Research Foundation (FAPESP, process no 2017/24809-4). The methodology was based in ARFI elastography using the ACUSON S2000/SIEMENS device, with convex multifrequential transducer and specific software as well as clinical evaluation of the syndrome, in order to determine if they can be used as a prognostic non-invasive tool. On quantitative elastography, it was collected three measures of shear wave velocity (meters per second) and depth in centimeters in the left lateral, left medial, right lateral, right medial and caudate lobe of the liver. The brachycephalic patients, 16 pugs and 30 french bulldogs, were classified using a previously established 4-point functional grading system based on clinical evaluation before and after a 3-minute exercise tolerance test already established and validated. The control group was based on the same features collected in 22 beagles. The software R version 3.3.0 was used for the analysis and the significance level was set at 0.05. The data were analysed for normality of residuals and homogeneity of variances by Shapiro-Wilks test. Comparisons of parametric continuous variables between breeds were performed by using ANOVA with a post hoc test for pair wise comparison. The preliminary results show significant statistic differences between the brachycephalic groups and the control group in all lobes analysed (p ≤ 0,05), with higher values of shear wave velocities in the hepatic tissue of brachycephalic dogs. In this context, the results obtained in this study contributes to the understanding of BS as well as its consequences in our patients, reflecting in evidence that one more systemic consequence of the syndrome may occur in brachycephalic patients, which was not related in the veterinary literature yet. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=airway%20obstruction" title="airway obstruction">airway obstruction</a>, <a href="https://publications.waset.org/abstracts/search?q=brachycephalic%20airway%20obstructive%20syndrome" title=" brachycephalic airway obstructive syndrome"> brachycephalic airway obstructive syndrome</a>, <a href="https://publications.waset.org/abstracts/search?q=hepatic%20injury" title=" hepatic injury"> hepatic injury</a>, <a href="https://publications.waset.org/abstracts/search?q=obstructive%20sleep%20apnea" title=" obstructive sleep apnea"> obstructive sleep apnea</a> </p> <a href="https://publications.waset.org/abstracts/108736/acoustic-radiation-force-impulse-elastography-of-the-hepatic-tissue-of-canine-brachycephalic-patients" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/108736.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">117</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=obstructive%20sleep%20apnea&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=obstructive%20sleep%20apnea&page=3">3</a></li> <li class="page-item"><a class="page-link" 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