Distinguishing Innocent Murmurs from Murmurs caused by Aortic Stenosis by Recurrence Quantification Analysis

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The data were analyzed with recurrence quantification analysis (RQA) with the aim to find features able to distinguish innocent murmurs from murmurs caused by AS. Four out of eight investigated RQA features showed significant differences between innocent murmurs and pathological murmurs. Using a plain linear discriminant analysis classifier, the best pair of features (recurrence rate and entropy) resulted in a sensitivity of 90% and a specificity of 88%. In conclusion, RQA provide valid features which can be used for differentiation between innocent murmurs and murmurs caused by AS." /> <meta name="citation_title" content="Distinguishing Innocent Murmurs from Murmurs caused by Aortic Stenosis by Recurrence Quantification Analysis" /> <meta name="citation_doi" content="10.5281/zenodo.1058303" /> <meta name="citation_keywords" content="Bioacoustics" /> <meta name="citation_keywords" content="murmur" /> <meta name="citation_keywords" content="phonocardiographic signal" /> <meta name="citation_keywords" content="recurrence quantification analysis." /> <meta name="citation_abstract_html_url" content="https://zenodo.org/records/1058303" /> <meta property="og:title" content="Distinguishing Innocent Murmurs from Murmurs caused by Aortic Stenosis by Recurrence Quantification Analysis" /> <meta property="og:description" content="It is sometimes difficult to differentiate between innocent murmurs and pathological murmurs during auscultation. In these difficult cases, an intelligent stethoscope with decision support abilities would be of great value. In this study, using a dog model, phonocardiographic recordings were obtained from 27 boxer dogs with various degrees of aortic stenosis (AS) severity. As a reference for severity assessment, continuous wave Doppler was used. The data were analyzed with recurrence quantification analysis (RQA) with the aim to find features able to distinguish innocent murmurs from murmurs caused by AS. Four out of eight investigated RQA features showed significant differences between innocent murmurs and pathological murmurs. Using a plain linear discriminant analysis classifier, the best pair of features (recurrence rate and entropy) resulted in a sensitivity of 90% and a specificity of 88%. In conclusion, RQA provide valid features which can be used for differentiation between innocent murmurs and murmurs caused by AS." /> <meta property="og:url" content="https://zenodo.org/records/1058303" /> <meta property="og:site_name" content="Zenodo" /> <meta name="twitter:card" content="summary" /> <meta name="twitter:site" content="@zenodo_org" /> <meta name="twitter:title" content="Distinguishing Innocent Murmurs from Murmurs caused by Aortic Stenosis by Recurrence Quantification Analysis" /> <meta name="twitter:description" content="It is sometimes difficult to differentiate between innocent murmurs and pathological murmurs during auscultation. In these difficult cases, an intelligent stethoscope with decision support abilities would be of great value. In this study, using a dog model, phonocardiographic recordings were obtained from 27 boxer dogs with various degrees of aortic stenosis (AS) severity. As a reference for severity assessment, continuous wave Doppler was used. The data were analyzed with recurrence quantification analysis (RQA) with the aim to find features able to distinguish innocent murmurs from murmurs caused by AS. Four out of eight investigated RQA features showed significant differences between innocent murmurs and pathological murmurs. Using a plain linear discriminant analysis classifier, the best pair of features (recurrence rate and entropy) resulted in a sensitivity of 90% and a specificity of 88%. In conclusion, RQA provide valid features which can be used for differentiation between innocent murmurs and murmurs caused by AS." /> <meta name="citation_pdf_url" content="https://zenodo.org/records/1058303/files/2998.pdf"/> <link rel="alternate" type="application/pdf" href="https://zenodo.org/records/1058303/files/2998.pdf"> <link rel="canonical" href="https://zenodo.org/records/1058303"> <title>Distinguishing Innocent Murmurs from Murmurs caused by Aortic Stenosis by Recurrence Quantification Analysis</title> <link rel="shortcut icon" type="image/x-icon" href="/static/favicon.ico"/> <link rel="apple-touch-icon" sizes="120x120" href="/static/apple-touch-icon-120.png"/> <link rel="apple-touch-icon" sizes="152x152" href="/static/apple-touch-icon-152.png"/> <link rel="apple-touch-icon" sizes="167x167" href="/static/apple-touch-icon-167.png"/> <link rel="apple-touch-icon" sizes="180x180" href="/static/apple-touch-icon-180.png"/> <link rel="stylesheet" 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<div class="ui divider hidden"></div><section id="record-title-section" aria-label="Record title and creators"> <h1 id="record-title" class="wrap-overflowing-text">Distinguishing Innocent Murmurs from Murmurs caused by Aortic Stenosis by Recurrence Quantification Analysis</h1> <section id="creatibutors" aria-label="Creators and contributors"> <div class="ui grid"> <div class="row ui accordion affiliations"> <div class="sixteen wide mobile twelve wide tablet thirteen wide computer column"> <h3 class="sr-only">Creators</h3> <ul class="creatibutors"> <li class="creatibutor-wrap separated"> <a class="ui creatibutor-link" href="/search?q=metadata.creators.person_or_org.name%3A%22Christer+Ahlstrom%22" > <span class="creatibutor-name">Christer Ahlstrom</span></a> </li> <li class="creatibutor-wrap separated"> <a class="ui creatibutor-link" href="/search?q=metadata.creators.person_or_org.name%3A%22Katja+H%C3%B6glund%22" > <span class="creatibutor-name">Katja H枚glund</span></a> </li> <li class="creatibutor-wrap separated"> <a class="ui creatibutor-link" href="/search?q=metadata.creators.person_or_org.name%3A%22Peter+Hult%22" > <span class="creatibutor-name">Peter Hult</span></a> </li> <li class="creatibutor-wrap separated"> <a class="ui creatibutor-link" href="/search?q=metadata.creators.person_or_org.name%3A%22Jens+H%C3%A4ggstr%C3%B6m%22" > <span class="creatibutor-name">Jens H盲ggstr枚m</span></a> </li> <li class="creatibutor-wrap separated"> <a class="ui creatibutor-link" href="/search?q=metadata.creators.person_or_org.name%3A%22Clarence+Kvart%22" > <span class="creatibutor-name">Clarence Kvart</span></a> </li> <li class="creatibutor-wrap separated"> <a class="ui creatibutor-link" href="/search?q=metadata.creators.person_or_org.name%3A%22Per+Ask%22" > <span class="creatibutor-name">Per Ask</span></a> </li> </ul> </div> </div> </div> </section> </section> <section id="description" class="rel-mt-2 rich-input-content" aria-label="Record description"> <h2 id="description-heading" class="sr-only">Description</h2> <div style="word-wrap: break-word;"> <p>It is sometimes difficult to differentiate between innocent murmurs and pathological murmurs during auscultation. In these difficult cases, an intelligent stethoscope with decision support abilities would be of great value. In this study, using a dog model, phonocardiographic recordings were obtained from 27 boxer dogs with various degrees of aortic stenosis (AS) severity. As a reference for severity assessment, continuous wave Doppler was used. The data were analyzed with recurrence quantification analysis (RQA) with the aim to find features able to distinguish innocent murmurs from murmurs caused by AS. Four out of eight investigated RQA features showed significant differences between innocent murmurs and pathological murmurs. Using a plain linear discriminant analysis classifier, the best pair of features (recurrence rate and entropy) resulted in a sensitivity of 90% and a specificity of 88%. In conclusion, RQA provide valid features which can be used for differentiation between innocent murmurs and murmurs caused by AS.</p> </div> </section> <section id="record-files" class="rel-mt-2 rel-mb-3" aria-label="Files" ><h2 id="files-heading">Files</h2> <div class="ui accordion panel mb-10 open" href="#files-preview-accordion-panel"> <h3 class="active title panel-heading open m-0"> <div role="button" id="files-preview-accordion-trigger" aria-controls="files-preview-accordion-panel" aria-expanded="true" tabindex="0" class="trigger" aria-label="File preview" > <span id="preview-file-title">2998.pdf</span> <i class="angle right icon" aria-hidden="true"></i> </div> </h3> <div role="region" id="files-preview-accordion-panel" aria-labelledby="files-preview-accordion-trigger" class="active content preview-container pt-0 open" > <div> <iframe title="Preview" class="preview-iframe" id="preview-iframe" name="preview-iframe" src="/records/1058303/preview/2998.pdf?include_deleted=0" > </iframe> </div> </div> </div> <div class="ui accordion panel mb-10 open" href="#files-list-accordion-panel"> <h3 class="active title panel-heading open m-0"> <div role="button" id="files-list-accordion-trigger" aria-controls="files-list-accordion-panel" aria-expanded="true" tabindex="0" class="trigger"> Files <small class="text-muted"> (471.2 kB)</small> <i class="angle right icon" aria-hidden="true"></i> </div> </h3> <div role="region" id="files-list-accordion-panel" aria-labelledby="files-list-accordion-trigger" class="active content pt-0"> <div> <table class="ui striped table files fluid open"> <thead> <tr> <th>Name</th> <th>Size</th> <th class> <a role="button" class="ui compact mini button right floated archive-link" href="https://zenodo.org/api/records/1058303/files-archive"> <i class="file archive icon button" aria-hidden="true"></i> Download all </a> </th> </tr> </thead> <tbody> <tr> <td class="ten wide"> <div> <a href="/records/1058303/files/2998.pdf?download=1">2998.pdf</a> </div> <small class="ui text-muted font-tiny">md5:be74feaf553d84667b2529a0a2683c8f <div class="ui icon inline-block" data-tooltip="This is the file fingerprint (checksum), which can be used to verify the file integrity."> <i class="question circle checksum icon"></i> </div> </small> </td> <td>471.2 kB</td> <td class="right aligned"> <span> <a role="button" class="ui compact mini button preview-link" href="/records/1058303/preview/2998.pdf?include_deleted=0" target="preview-iframe" data-file-key="2998.pdf"> <i class="eye icon" aria-hidden="true"></i>Preview </a> <a role="button" class="ui compact mini button" href="/records/1058303/files/2998.pdf?download=1"> <i class="download icon" aria-hidden="true"></i>Download </a> </span> </td> </tr> </tbody> </table> </div> </div> </div> </section> <section id="additional-details" class="rel-mt-2" aria-label="Additional record details"> <h2 id="record-details-heading">Additional details</h2> <div class="ui divider"></div> <div class="ui fluid accordion padded grid rel-mb-1"> <div class="active title sixteen wide mobile four wide tablet three wide computer column"> <h3 class="ui header"> <div id="references-accordion-trigger" role="button" tabindex="0" aria-expanded="true" aria-controls="references-panel" class="trigger" > <i class="caret right icon" aria-hidden="true"></i>References </div> </h3> </div> <div id="references-panel" role="region" aria-labelledby="references-accordion-trigger" class="active content sixteen wide mobile twelve wide tablet thirteen wide computer column" > <ul class="ui bulleted list details-list"> <li class="item">A. G. Tilkian and M. B. Conover, Understanding heart sounds and murmurs: with an introduction to lung sounds, 4. ed. Philadelphia: Saunders, 2001.</li> <li class="item">A. N. Pelech, "The physiology of cardiac auscultation," Pediatr Clin North Am, vol. 51, pp. 1515-1535, 2004.</li> <li class="item">C. Ahlstrom, "Processing of the phonocardiographic signal," Licentiate degree in Link枚ping Studies in Science and Technology, Thesis no 1253, Dept. of Biomedical Engineering, Link枚pings universitet, Link枚ping, Sweden, 2006.</li> <li class="item">K. H枚glund, C. Ahlstrom, J. H鈹溍眊gstr枚m, and C. Kvart, "Spectral analysis of heart murmurs in boxer dogs," in Proc. 16th ECVIM-CA Congress, Amsterdam, the Netherlands, 2006, pp. 172.</li> <li class="item">L. G. Durand and P. Pibarot, "Digital signal processing of the phonocardiogram: review of the most recent advancements," Crit. Rev. Biomed. Eng., vol. 23, pp. 163-219, 1995.</li> <li class="item">R. M. Rangayyan and R. J. Lehner, "Phonocardiogram signal analysis: a review," Crit Rev Biomed Eng, vol. 15, pp. 211-236, 1987.</li> <li class="item">S. R. Bhatikar, C. DeGroff, and R. L. Mahajan, "A classifier based on the artificial neural network approach for cardiologic auscultation in pediatrics," Artif Intell Med, vol. 33, pp. 251-260, 2005.</li> <li class="item">I. Cathers, "Neural network assisted cardiac auscultation," Artif. Intell. Med., vol. 7, pp. 53-66, 1995.</li> <li class="item">H. Shino, H. Yoshida, K. Yana, K. Harada, J. Sudoh, and E. Harasewa, "Detection and classification of systolic murmur for phonocardiogram screening," in Proc. 18th Ann. Int. Conf. of the IEEE, EMBS, Amsterdam, the Netherlands, 1996, pp. 123-124. [10] H. N. Sabbah and P. D. Stein, "Turbulent blood flow in humans: its primary role in the production of ejection murmurs," Circ Res, vol. 38, pp. 513-525, 1976. [11] C. Ahlstrom, P. Hult, P. Rask, J. E. Karlsson, E. Nylander, U. Dahlstr枚m, and P. Ask, "Feature Extraction for Systolic Heart Murmur Classification," Ann Biomed Eng, vol. 34, pp. 1666-1677, 2006. [12] V. Nigam and R. Priemer, "Accessing heart dynamics to estimate durations of heart sounds," Physiol Meas, vol. 26, pp. 1005-1018, 2005. [13] V. Padmanabhan and J. L. Semmlow, "Dynamical analysis of diastolic heart sounds associated with coronary artery disease," Ann Biomed Eng, vol. 22, pp. 264-271, 1994. [14] M. E. Tavel and H. Katz, "Usefulness of a new sound spectral averaging technique to distinguish an innocent systolic murmur from that of aortic stenosis," Am J Cardiol, vol. 95, pp. 902-904, 2005. [15] W. P. Thomas, C. E. Gaber, G. J. Jacobs, P. M. Kaplan, C. W. Lombard, N. S. Moise, and B. L. Moses, "Recommendations for standards in transthoracic two-dimensional echocardiography in the dog and cat," J Vet Intern Med, vol. 7, pp. 247-252, 1993. [16] L. B. Lehmkuhl and J. D. Bonagura, "Comparison of transducer placement sites for Doppler echocardiography in dogs with subaortic stenosis," Am J Vet Res, vol. 55, pp. 192-198, 1994. [17] R. D. Kienle, "Aortic Stenosis," in Small animal cardiovascular medicine, M. D. Kittleson and R. D. Kienle, Eds. St. Louis, MO: Mosby, 1998, pp. 260-272. [18] N. Marwan, N. Wessel, U. Meyerfeldt, A. Schirdewan, and J. Kurths, "Recurrence-plot-based measures of complexity and their application to heart-rate-variability data," Phys. Rev. E., vol. 66, pp. 1-8, 2002. [19] H. Kantz and T. Schreiber, Nonlinear Time Series Analysis, 2. ed. Cambridge: Cambridge Univ. Press, 2004. [20] L. Y. Cao, "Practical method for determining the minimum embedding dimension of a scalar time series," Physica D, vol. 110, pp. 43-50, 1997. [21] C. L. Webber and J. P. Zbilut, "Dynamical assessment of physiological systems and states using recurrence plot strategies," J. Appl. Physiol., vol. 76, pp. 965-973, 1994. [22] R. A. Fisher, "The Use of Multiple Measurements in Taxonomic Problems," Annals of Eugenics, vol. 7, pp. 179-188, 1936. [23] S. Theodoridis and K. Koutroumbas, Pattern Recognition, 2. ed. Amsterdam: Academic Press, 2003. [24] C. Kvart, A. T. French, V. L. Fuentes, J. Haggstrom, J. D. McEwan, and K. E. Schober, "Analysis of murmur intensity, duration and frequency components in dogs with aortic stenosis," J Small Anim Pract, vol. 39, pp. 318-324, 1998. [25] C. Basso, P. R. Fox, K. M. Meurs, J. A. Towbin, A. W. Spier, F. Calabrese, B. J. Maron, and G. Thiene, "Arrhythmogenic right ventricular cardiomyopathy causing sudden cardiac death in boxer dogs: a new animal model of human disease," Circulation, vol. 109, pp. 1180- 1185, 2004. [26] C. Bussadori, C. Quintavalla, and A. Capelli, "Prevalence of congenital heart disease in boxers in Italy," Journal of Veterinary Cardiology, vol. 3, pp. 7-11, 2001. [27] V. Luis-Fuentes, P. G. C. Darke, and B. M. Cattanach, "Aortic stenosis in boxer dogs," in Proc. 12th Ann. Forum, ACVIM, San Fransisco, CA, 1994, pp. 309-311.</li> </ul> </div> </div> <div class="ui divider"></div> </section> <section id="citations-search" data-record-pids='{"doi": {"client": "datacite", "identifier": "10.5281/zenodo.1058303", "provider": "datacite"}, "oai": {"identifier": "oai:zenodo.org:1058303", "provider": "oai"}}' data-record-parent-pids='{"doi": {"client": "datacite", "identifier": "10.5281/zenodo.1058302", "provider": "datacite"}}' data-citations-endpoint="https://zenodo-broker.web.cern.ch/api/relationships" aria-label="Record citations" class="rel-mb-1" > </section> </article> <aside class="sixteen wide tablet five wide computer column sidebar" aria-label="Record details"> <section id="metrics" aria-label="Metrics" class="ui segment rdm-sidebar sidebar-container"> <div class="ui tiny two statistics rel-mt-1"> <div class="ui statistic"> <div class="value">64</div> <div class="label"> <i aria-hidden="true" class="eye icon"></i> Views </div> </div> <div class="ui 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"Per Ask", "type": "personal"}}], "description": "It is sometimes difficult to differentiate between\ninnocent murmurs and pathological murmurs during auscultation. In\nthese difficult cases, an intelligent stethoscope with decision support\nabilities would be of great value. In this study, using a dog model,\nphonocardiographic recordings were obtained from 27 boxer dogs\nwith various degrees of aortic stenosis (AS) severity. As a reference\nfor severity assessment, continuous wave Doppler was used. The data\nwere analyzed with recurrence quantification analysis (RQA) with\nthe aim to find features able to distinguish innocent murmurs from\nmurmurs caused by AS. Four out of eight investigated RQA features\nshowed significant differences between innocent murmurs and\npathological murmurs. Using a plain linear discriminant analysis\nclassifier, the best pair of features (recurrence rate and entropy)\nresulted in a sensitivity of 90% and a specificity of 88%. In\nconclusion, RQA provide valid features which can be used for\ndifferentiation between innocent murmurs and murmurs caused by\nAS.", "languages": [{"id": "eng", "title": {"en": "English"}}], "publication_date": "2008-06-24", "publisher": "Zenodo", "references": [{"reference": "A. G. Tilkian and M. B. Conover, Understanding heart sounds and\nmurmurs: with an introduction to lung sounds, 4. ed. Philadelphia:\nSaunders, 2001."}, {"reference": "A. N. Pelech, \"The physiology of cardiac auscultation,\" Pediatr Clin\nNorth Am, vol. 51, pp. 1515-1535, 2004."}, {"reference": "C. Ahlstrom, \"Processing of the phonocardiographic signal,\" Licentiate\ndegree in Link\u00f6ping Studies in Science and Technology, Thesis no\n1253, Dept. of Biomedical Engineering, Link\u00f6pings universitet,\nLink\u00f6ping, Sweden, 2006."}, {"reference": "K. H\u00f6glund, C. Ahlstrom, J. H\u251c\u00f1ggstr\u00f6m, and C. Kvart, \"Spectral analysis\nof heart murmurs in boxer dogs,\" in Proc. 16th ECVIM-CA Congress,\nAmsterdam, the Netherlands, 2006, pp. 172."}, {"reference": "L. G. Durand and P. Pibarot, \"Digital signal processing of the\nphonocardiogram: review of the most recent advancements,\" Crit. Rev.\nBiomed. Eng., vol. 23, pp. 163-219, 1995."}, {"reference": "R. M. Rangayyan and R. J. Lehner, \"Phonocardiogram signal analysis: a\nreview,\" Crit Rev Biomed Eng, vol. 15, pp. 211-236, 1987."}, {"reference": "S. R. Bhatikar, C. DeGroff, and R. L. Mahajan, \"A classifier based on\nthe artificial neural network approach for cardiologic auscultation in\npediatrics,\" Artif Intell Med, vol. 33, pp. 251-260, 2005."}, {"reference": "I. Cathers, \"Neural network assisted cardiac auscultation,\" Artif. Intell.\nMed., vol. 7, pp. 53-66, 1995."}, {"reference": "H. Shino, H. Yoshida, K. Yana, K. Harada, J. Sudoh, and E. Harasewa,\n\"Detection and classification of systolic murmur for phonocardiogram\nscreening,\" in Proc. 18th Ann. Int. Conf. of the IEEE, EMBS,\nAmsterdam, the Netherlands, 1996, pp. 123-124.\n[10] H. N. Sabbah and P. D. Stein, \"Turbulent blood flow in humans: its\nprimary role in the production of ejection murmurs,\" Circ Res, vol. 38,\npp. 513-525, 1976.\n[11] C. Ahlstrom, P. Hult, P. Rask, J. E. Karlsson, E. Nylander, U.\nDahlstr\u00f6m, and P. Ask, \"Feature Extraction for Systolic Heart Murmur\nClassification,\" Ann Biomed Eng, vol. 34, pp. 1666-1677, 2006.\n[12] V. Nigam and R. Priemer, \"Accessing heart dynamics to estimate\ndurations of heart sounds,\" Physiol Meas, vol. 26, pp. 1005-1018, 2005.\n[13] V. Padmanabhan and J. L. Semmlow, \"Dynamical analysis of diastolic\nheart sounds associated with coronary artery disease,\" Ann Biomed Eng,\nvol. 22, pp. 264-271, 1994.\n[14] M. E. Tavel and H. Katz, \"Usefulness of a new sound spectral averaging\ntechnique to distinguish an innocent systolic murmur from that of aortic\nstenosis,\" Am J Cardiol, vol. 95, pp. 902-904, 2005.\n[15] W. P. Thomas, C. E. Gaber, G. J. Jacobs, P. M. Kaplan, C. W. Lombard,\nN. S. Moise, and B. L. Moses, \"Recommendations for standards in\ntransthoracic two-dimensional echocardiography in the dog and cat,\" J\nVet Intern Med, vol. 7, pp. 247-252, 1993.\n[16] L. B. Lehmkuhl and J. D. Bonagura, \"Comparison of transducer\nplacement sites for Doppler echocardiography in dogs with subaortic\nstenosis,\" Am J Vet Res, vol. 55, pp. 192-198, 1994.\n[17] R. D. Kienle, \"Aortic Stenosis,\" in Small animal cardiovascular\nmedicine, M. D. Kittleson and R. D. Kienle, Eds. St. Louis, MO: Mosby,\n1998, pp. 260-272.\n[18] N. Marwan, N. Wessel, U. Meyerfeldt, A. Schirdewan, and J. Kurths,\n\"Recurrence-plot-based measures of complexity and their application to\nheart-rate-variability data,\" Phys. Rev. E., vol. 66, pp. 1-8, 2002.\n[19] H. Kantz and T. Schreiber, Nonlinear Time Series Analysis, 2. ed.\nCambridge: Cambridge Univ. Press, 2004.\n[20] L. Y. Cao, \"Practical method for determining the minimum embedding\ndimension of a scalar time series,\" Physica D, vol. 110, pp. 43-50, 1997.\n[21] C. L. Webber and J. P. Zbilut, \"Dynamical assessment of physiological\nsystems and states using recurrence plot strategies,\" J. Appl. Physiol.,\nvol. 76, pp. 965-973, 1994.\n[22] R. A. Fisher, \"The Use of Multiple Measurements in Taxonomic\nProblems,\" Annals of Eugenics, vol. 7, pp. 179-188, 1936.\n[23] S. Theodoridis and K. Koutroumbas, Pattern Recognition, 2. ed.\nAmsterdam: Academic Press, 2003.\n[24] C. Kvart, A. T. French, V. L. Fuentes, J. Haggstrom, J. D. McEwan, and\nK. E. Schober, \"Analysis of murmur intensity, duration and frequency\ncomponents in dogs with aortic stenosis,\" J Small Anim Pract, vol. 39,\npp. 318-324, 1998.\n[25] C. Basso, P. R. Fox, K. M. Meurs, J. A. Towbin, A. W. Spier, F.\nCalabrese, B. J. Maron, and G. Thiene, \"Arrhythmogenic right\nventricular cardiomyopathy causing sudden cardiac death in boxer dogs:\na new animal model of human disease,\" Circulation, vol. 109, pp. 1180-\n1185, 2004.\n[26] C. Bussadori, C. Quintavalla, and A. Capelli, \"Prevalence of congenital\nheart disease in boxers in Italy,\" Journal of Veterinary Cardiology, vol.\n3, pp. 7-11, 2001.\n[27] V. Luis-Fuentes, P. G. C. Darke, and B. M. Cattanach, \"Aortic stenosis\nin boxer dogs,\" in Proc. 12th Ann. Forum, ACVIM, San Fransisco, CA,\n1994, pp. 309-311."}], "resource_type": {"id": "publication-article", "title": {"de": "Zeitschriftenartikel", "en": "Journal article"}}, "rights": [{"description": {"en": "The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited."}, "icon": "cc-by-icon", "id": "cc-by-4.0", "props": {"scheme": "spdx", "url": "https://creativecommons.org/licenses/by/4.0/legalcode"}, "title": {"en": "Creative Commons Attribution 4.0 International"}}], "subjects": [{"subject": "Bioacoustics"}, {"subject": "murmur"}, {"subject": "phonocardiographic signal"}, {"subject": "recurrence quantification analysis."}], "title": "Distinguishing Innocent Murmurs from Murmurs caused by Aortic Stenosis by Recurrence Quantification Analysis", "version": "2998"}, "parent": {"access": {"owned_by": {"user": "32148"}, "settings": {"accept_conditions_text": null, "allow_guest_requests": false, "allow_user_requests": false, "secret_link_expiration": 0}}, "communities": {"default": "a59dd046-9a86-4a47-97ce-b51f1bb8fc3f", "entries": [{"access": {"member_policy": "open", "members_visibility": "public", "record_submission_policy": "open", "review_policy": "open", "visibility": "public"}, "children": {"allow": false}, "created": "2017-05-31T21:24:26.028360+00:00", "custom_fields": {}, "deletion_status": {"is_deleted": false, "status": "P"}, "id": "a59dd046-9a86-4a47-97ce-b51f1bb8fc3f", "links": {}, "metadata": {"curation_policy": "", "description": "", "page": "", "title": "World Academy of Science, Engineering and Technology"}, "revision_id": 0, "slug": "waset", "updated": "2017-11-15T12:37:31.935319+00:00"}], "ids": ["a59dd046-9a86-4a47-97ce-b51f1bb8fc3f"]}, "id": "1058302", "pids": {"doi": {"client": "datacite", "identifier": "10.5281/zenodo.1058302", "provider": "datacite"}}}, "pids": {"doi": {"client": "datacite", "identifier": "10.5281/zenodo.1058303", "provider": "datacite"}, "oai": {"identifier": "oai:zenodo.org:1058303", "provider": "oai"}}, "revision_id": 7, "stats": {"all_versions": {"data_volume": 14134680.0, "downloads": 30, "unique_downloads": 29, "unique_views": 64, "views": 64}, "this_version": {"data_volume": 14134680.0, "downloads": 30, "unique_downloads": 29, "unique_views": 64, "views": 64}}, "status": "published", "ui": {"access_status": {"description_l10n": "The record and files are publicly accessible.", "embargo_date_l10n": null, "icon": "unlock", "id": "open", "message_class": "", "title_l10n": "Open"}, "created_date_l10n_long": "February 1, 2018", "creators": {"affiliations": [], "creators": [{"person_or_org": {"family_name": "Christer Ahlstrom", "name": "Christer Ahlstrom", "type": "personal"}}, {"person_or_org": {"family_name": "Katja H\u00f6glund", "name": "Katja H\u00f6glund", "type": "personal"}}, {"person_or_org": {"family_name": "Peter Hult", "name": "Peter Hult", "type": "personal"}}, {"person_or_org": {"family_name": "Jens H\u00e4ggstr\u00f6m", "name": "Jens H\u00e4ggstr\u00f6m", "type": "personal"}}, {"person_or_org": {"family_name": "Clarence Kvart", "name": "Clarence Kvart", "type": "personal"}}, {"person_or_org": {"family_name": "Per Ask", "name": "Per Ask", "type": "personal"}}]}, "custom_fields": {}, "description_stripped": "It is sometimes difficult to differentiate between\ninnocent murmurs and pathological murmurs during auscultation. In\nthese difficult cases, an intelligent stethoscope with decision support\nabilities would be of great value. In this study, using a dog model,\nphonocardiographic recordings were obtained from 27 boxer dogs\nwith various degrees of aortic stenosis (AS) severity. As a reference\nfor severity assessment, continuous wave Doppler was used. The data\nwere analyzed with recurrence quantification analysis (RQA) with\nthe aim to find features able to distinguish innocent murmurs from\nmurmurs caused by AS. Four out of eight investigated RQA features\nshowed significant differences between innocent murmurs and\npathological murmurs. Using a plain linear discriminant analysis\nclassifier, the best pair of features (recurrence rate and entropy)\nresulted in a sensitivity of 90% and a specificity of 88%. In\nconclusion, RQA provide valid features which can be used for\ndifferentiation between innocent murmurs and murmurs caused by\nAS.", "is_draft": false, "languages": [{"id": "eng", "title_l10n": "English"}], "publication_date_l10n_long": "June 24, 2008", "publication_date_l10n_medium": "Jun 24, 2008", "resource_type": {"id": "publication-article", "title_l10n": "Journal article"}, "rights": [{"description_l10n": "The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited.", "icon": "cc-by-icon", "id": "cc-by-4.0", "props": {"scheme": "spdx", "url": "https://creativecommons.org/licenses/by/4.0/legalcode"}, "title_l10n": "Creative Commons Attribution 4.0 International"}], "updated_date_l10n_long": "August 3, 2024", "version": "2998"}, "updated": "2024-08-03T00:14:05.327921+00:00", "versions": {"index": 1, "is_latest": true}}' data-preview='false'> <div class="rel-p-1"></div> <div class="ui 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H\u00f6glund", "name": "Katja H\u00f6glund", "type": "personal"}}, {"person_or_org": {"family_name": "Peter Hult", "name": "Peter Hult", "type": "personal"}}, {"person_or_org": {"family_name": "Jens H\u00e4ggstr\u00f6m", "name": "Jens H\u00e4ggstr\u00f6m", "type": "personal"}}, {"person_or_org": {"family_name": "Clarence Kvart", "name": "Clarence Kvart", "type": "personal"}}, {"person_or_org": {"family_name": "Per Ask", "name": "Per Ask", "type": "personal"}}], "description": "It is sometimes difficult to differentiate between\ninnocent murmurs and pathological murmurs during auscultation. In\nthese difficult cases, an intelligent stethoscope with decision support\nabilities would be of great value. In this study, using a dog model,\nphonocardiographic recordings were obtained from 27 boxer dogs\nwith various degrees of aortic stenosis (AS) severity. As a reference\nfor severity assessment, continuous wave Doppler was used. The data\nwere analyzed with recurrence quantification analysis (RQA) with\nthe aim to find features able to distinguish innocent murmurs from\nmurmurs caused by AS. Four out of eight investigated RQA features\nshowed significant differences between innocent murmurs and\npathological murmurs. Using a plain linear discriminant analysis\nclassifier, the best pair of features (recurrence rate and entropy)\nresulted in a sensitivity of 90% and a specificity of 88%. In\nconclusion, RQA provide valid features which can be used for\ndifferentiation between innocent murmurs and murmurs caused by\nAS.", "languages": [{"id": "eng", "title": {"en": "English"}}], "publication_date": "2008-06-24", "publisher": "Zenodo", "references": [{"reference": "A. G. Tilkian and M. B. Conover, Understanding heart sounds and\nmurmurs: with an introduction to lung sounds, 4. ed. Philadelphia:\nSaunders, 2001."}, {"reference": "A. N. Pelech, \"The physiology of cardiac auscultation,\" Pediatr Clin\nNorth Am, vol. 51, pp. 1515-1535, 2004."}, {"reference": "C. Ahlstrom, \"Processing of the phonocardiographic signal,\" Licentiate\ndegree in Link\u00f6ping Studies in Science and Technology, Thesis no\n1253, Dept. of Biomedical Engineering, Link\u00f6pings universitet,\nLink\u00f6ping, Sweden, 2006."}, {"reference": "K. H\u00f6glund, C. Ahlstrom, J. H\u251c\u00f1ggstr\u00f6m, and C. Kvart, \"Spectral analysis\nof heart murmurs in boxer dogs,\" in Proc. 16th ECVIM-CA Congress,\nAmsterdam, the Netherlands, 2006, pp. 172."}, {"reference": "L. G. Durand and P. Pibarot, \"Digital signal processing of the\nphonocardiogram: review of the most recent advancements,\" Crit. Rev.\nBiomed. Eng., vol. 23, pp. 163-219, 1995."}, {"reference": "R. M. Rangayyan and R. J. Lehner, \"Phonocardiogram signal analysis: a\nreview,\" Crit Rev Biomed Eng, vol. 15, pp. 211-236, 1987."}, {"reference": "S. R. Bhatikar, C. DeGroff, and R. L. Mahajan, \"A classifier based on\nthe artificial neural network approach for cardiologic auscultation in\npediatrics,\" Artif Intell Med, vol. 33, pp. 251-260, 2005."}, {"reference": "I. Cathers, \"Neural network assisted cardiac auscultation,\" Artif. Intell.\nMed., vol. 7, pp. 53-66, 1995."}, {"reference": "H. Shino, H. Yoshida, K. Yana, K. Harada, J. Sudoh, and E. Harasewa,\n\"Detection and classification of systolic murmur for phonocardiogram\nscreening,\" in Proc. 18th Ann. Int. Conf. of the IEEE, EMBS,\nAmsterdam, the Netherlands, 1996, pp. 123-124.\n[10] H. N. Sabbah and P. D. Stein, \"Turbulent blood flow in humans: its\nprimary role in the production of ejection murmurs,\" Circ Res, vol. 38,\npp. 513-525, 1976.\n[11] C. Ahlstrom, P. Hult, P. Rask, J. E. Karlsson, E. Nylander, U.\nDahlstr\u00f6m, and P. Ask, \"Feature Extraction for Systolic Heart Murmur\nClassification,\" Ann Biomed Eng, vol. 34, pp. 1666-1677, 2006.\n[12] V. Nigam and R. Priemer, \"Accessing heart dynamics to estimate\ndurations of heart sounds,\" Physiol Meas, vol. 26, pp. 1005-1018, 2005.\n[13] V. Padmanabhan and J. L. Semmlow, \"Dynamical analysis of diastolic\nheart sounds associated with coronary artery disease,\" Ann Biomed Eng,\nvol. 22, pp. 264-271, 1994.\n[14] M. E. Tavel and H. Katz, \"Usefulness of a new sound spectral averaging\ntechnique to distinguish an innocent systolic murmur from that of aortic\nstenosis,\" Am J Cardiol, vol. 95, pp. 902-904, 2005.\n[15] W. P. Thomas, C. E. Gaber, G. J. Jacobs, P. M. Kaplan, C. W. Lombard,\nN. S. Moise, and B. L. Moses, \"Recommendations for standards in\ntransthoracic two-dimensional echocardiography in the dog and cat,\" J\nVet Intern Med, vol. 7, pp. 247-252, 1993.\n[16] L. B. Lehmkuhl and J. D. Bonagura, \"Comparison of transducer\nplacement sites for Doppler echocardiography in dogs with subaortic\nstenosis,\" Am J Vet Res, vol. 55, pp. 192-198, 1994.\n[17] R. D. Kienle, \"Aortic Stenosis,\" in Small animal cardiovascular\nmedicine, M. D. Kittleson and R. D. Kienle, Eds. St. Louis, MO: Mosby,\n1998, pp. 260-272.\n[18] N. Marwan, N. Wessel, U. Meyerfeldt, A. Schirdewan, and J. Kurths,\n\"Recurrence-plot-based measures of complexity and their application to\nheart-rate-variability data,\" Phys. Rev. E., vol. 66, pp. 1-8, 2002.\n[19] H. Kantz and T. Schreiber, Nonlinear Time Series Analysis, 2. ed.\nCambridge: Cambridge Univ. Press, 2004.\n[20] L. Y. Cao, \"Practical method for determining the minimum embedding\ndimension of a scalar time series,\" Physica D, vol. 110, pp. 43-50, 1997.\n[21] C. L. Webber and J. P. Zbilut, \"Dynamical assessment of physiological\nsystems and states using recurrence plot strategies,\" J. Appl. Physiol.,\nvol. 76, pp. 965-973, 1994.\n[22] R. A. Fisher, \"The Use of Multiple Measurements in Taxonomic\nProblems,\" Annals of Eugenics, vol. 7, pp. 179-188, 1936.\n[23] S. Theodoridis and K. Koutroumbas, Pattern Recognition, 2. ed.\nAmsterdam: Academic Press, 2003.\n[24] C. Kvart, A. T. French, V. L. Fuentes, J. Haggstrom, J. D. McEwan, and\nK. E. Schober, \"Analysis of murmur intensity, duration and frequency\ncomponents in dogs with aortic stenosis,\" J Small Anim Pract, vol. 39,\npp. 318-324, 1998.\n[25] C. Basso, P. R. Fox, K. M. Meurs, J. A. Towbin, A. W. Spier, F.\nCalabrese, B. J. Maron, and G. Thiene, \"Arrhythmogenic right\nventricular cardiomyopathy causing sudden cardiac death in boxer dogs:\na new animal model of human disease,\" Circulation, vol. 109, pp. 1180-\n1185, 2004.\n[26] C. Bussadori, C. Quintavalla, and A. Capelli, \"Prevalence of congenital\nheart disease in boxers in Italy,\" Journal of Veterinary Cardiology, vol.\n3, pp. 7-11, 2001.\n[27] V. Luis-Fuentes, P. G. C. Darke, and B. M. Cattanach, \"Aortic stenosis\nin boxer dogs,\" in Proc. 12th Ann. Forum, ACVIM, San Fransisco, CA,\n1994, pp. 309-311."}], "resource_type": {"id": "publication-article", "title": {"de": "Zeitschriftenartikel", "en": "Journal article"}}, "rights": [{"description": {"en": "The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited."}, "icon": "cc-by-icon", "id": "cc-by-4.0", "props": {"scheme": "spdx", "url": "https://creativecommons.org/licenses/by/4.0/legalcode"}, "title": {"en": "Creative Commons Attribution 4.0 International"}}], "subjects": [{"subject": "Bioacoustics"}, {"subject": "murmur"}, {"subject": "phonocardiographic signal"}, {"subject": "recurrence quantification analysis."}], "title": "Distinguishing Innocent Murmurs from Murmurs caused by Aortic Stenosis by Recurrence Quantification Analysis", "version": "2998"}, "parent": {"access": {"owned_by": {"user": "32148"}, "settings": {"accept_conditions_text": null, "allow_guest_requests": false, "allow_user_requests": false, "secret_link_expiration": 0}}, "communities": {"default": "a59dd046-9a86-4a47-97ce-b51f1bb8fc3f", "entries": [{"access": {"member_policy": "open", "members_visibility": "public", "record_submission_policy": "open", "review_policy": "open", "visibility": "public"}, "children": {"allow": false}, "created": "2017-05-31T21:24:26.028360+00:00", "custom_fields": {}, "deletion_status": {"is_deleted": false, "status": "P"}, "id": "a59dd046-9a86-4a47-97ce-b51f1bb8fc3f", "links": {}, "metadata": {"curation_policy": "", "description": "", "page": "", "title": "World Academy of Science, Engineering and Technology"}, "revision_id": 0, "slug": "waset", "updated": "2017-11-15T12:37:31.935319+00:00"}], "ids": ["a59dd046-9a86-4a47-97ce-b51f1bb8fc3f"]}, "id": "1058302", "pids": {"doi": {"client": "datacite", "identifier": "10.5281/zenodo.1058302", "provider": "datacite"}}}, "pids": {"doi": {"client": "datacite", "identifier": "10.5281/zenodo.1058303", "provider": "datacite"}, "oai": {"identifier": "oai:zenodo.org:1058303", "provider": "oai"}}, "revision_id": 7, "stats": {"all_versions": {"data_volume": 14134680.0, "downloads": 30, "unique_downloads": 29, "unique_views": 64, "views": 64}, "this_version": {"data_volume": 14134680.0, "downloads": 30, "unique_downloads": 29, "unique_views": 64, "views": 64}}, "status": "published", "ui": {"access_status": {"description_l10n": "The record and files are publicly accessible.", "embargo_date_l10n": null, "icon": "unlock", "id": "open", "message_class": "", "title_l10n": "Open"}, "created_date_l10n_long": "February 1, 2018", "creators": {"affiliations": [], "creators": [{"person_or_org": {"family_name": "Christer Ahlstrom", "name": "Christer Ahlstrom", "type": "personal"}}, {"person_or_org": {"family_name": "Katja H\u00f6glund", "name": "Katja H\u00f6glund", "type": "personal"}}, {"person_or_org": {"family_name": "Peter Hult", "name": "Peter Hult", "type": "personal"}}, {"person_or_org": {"family_name": "Jens H\u00e4ggstr\u00f6m", "name": "Jens H\u00e4ggstr\u00f6m", "type": "personal"}}, {"person_or_org": {"family_name": "Clarence Kvart", "name": "Clarence Kvart", "type": "personal"}}, {"person_or_org": {"family_name": "Per Ask", "name": "Per Ask", "type": "personal"}}]}, "custom_fields": {}, "description_stripped": "It is sometimes difficult to differentiate between\ninnocent murmurs and pathological murmurs during auscultation. In\nthese difficult cases, an intelligent stethoscope with decision support\nabilities would be of great value. In this study, using a dog model,\nphonocardiographic recordings were obtained from 27 boxer dogs\nwith various degrees of aortic stenosis (AS) severity. As a reference\nfor severity assessment, continuous wave Doppler was used. The data\nwere analyzed with recurrence quantification analysis (RQA) with\nthe aim to find features able to distinguish innocent murmurs from\nmurmurs caused by AS. Four out of eight investigated RQA features\nshowed significant differences between innocent murmurs and\npathological murmurs. Using a plain linear discriminant analysis\nclassifier, the best pair of features (recurrence rate and entropy)\nresulted in a sensitivity of 90% and a specificity of 88%. 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"name": "Peter Hult"}, {"@type": "Person", "familyName": "Jens H\u00e4ggstr\u00f6m", "name": "Jens H\u00e4ggstr\u00f6m"}, {"@type": "Person", "familyName": "Clarence Kvart", "name": "Clarence Kvart"}, {"@type": "Person", "familyName": "Per Ask", "name": "Per Ask"}], "dateCreated": "2018-02-01T14:09:30.341986+00:00", "dateModified": "2024-08-03T00:14:05.327921+00:00", "datePublished": "2008-06-24", "description": "It is sometimes difficult to differentiate between\ninnocent murmurs and pathological murmurs during auscultation. In\nthese difficult cases, an intelligent stethoscope with decision support\nabilities would be of great value. In this study, using a dog model,\nphonocardiographic recordings were obtained from 27 boxer dogs\nwith various degrees of aortic stenosis (AS) severity. As a reference\nfor severity assessment, continuous wave Doppler was used. The data\nwere analyzed with recurrence quantification analysis (RQA) with\nthe aim to find features able to distinguish innocent murmurs from\nmurmurs caused by AS. Four out of eight investigated RQA features\nshowed significant differences between innocent murmurs and\npathological murmurs. Using a plain linear discriminant analysis\nclassifier, the best pair of features (recurrence rate and entropy)\nresulted in a sensitivity of 90% and a specificity of 88%. In\nconclusion, RQA provide valid features which can be used for\ndifferentiation between innocent murmurs and murmurs caused by\nAS.", "identifier": "https://doi.org/10.5281/zenodo.1058303", "inLanguage": {"@type": "Language", "alternateName": "eng", "name": "English"}, "keywords": "Bioacoustics, murmur, phonocardiographic signal, recurrence quantification analysis.", "license": "https://creativecommons.org/licenses/by/4.0/legalcode", "name": "Distinguishing Innocent Murmurs from Murmurs caused by Aortic Stenosis by Recurrence Quantification Analysis", "publisher": {"@type": "Organization", "name": "Zenodo"}, "size": "460.11 KB", "url": "https://zenodo.org/records/1058303", "version": "2998"}</script> <script src="/static/dist/js/invenio-app-rdm-landing-page-theme.9b56690388e335810f04.js"></script> <script src="/static/dist/js/9945.e11a5a6ff50535c72070.js"></script> <script src="/static/dist/js/1357.4e237807ffba81b213b0.js"></script> <script src="/static/dist/js/1644.2b2007bc83e4beeabfaf.js"></script> <script src="/static/dist/js/8962.cfabe841decd009221fd.js"></script> <script src="/static/dist/js/9300.a81535ba51a38f1472fe.js"></script> <script src="/static/dist/js/9693.dac033d778162b60d96f.js"></script> <script src="/static/dist/js/invenio-app-rdm-landing-page.024f3c02bb324ddef007.js"></script> <script src="/static/dist/js/previewer_theme.77f20174699c7786038a.js"></script> <script src="/static/dist/js/zenodo-rdm-citations.f6ca22bc7712ee9b03f7.js"></script> <div class="ui container info message cookie-banner hidden"> <i class="close icon"></i> <div> <i aria-hidden="true" class="info icon"></i> <p class="inline">This site uses cookies. 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Distinguishing Innocent Murmurs from Murmurs caused by Aortic Stenosis by Recurrence Quantification Analysis