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One of the largest open scholarly records collection worldwide.", "potentialAction": { "@type": "SearchAction", "@id": "https://explore.openaire.eu/#search-action", "target": "https://explore.openaire.eu/search/find/?fv0={search_term_string}&f0=q", "query-input": "required name=search_term_string" } } ]</script></div></schema2jsonld><div class=""><div id="modal-container"></div><main><router-outlet></router-outlet><result-landing><schema2jsonld><div><script type="application/ld+json">{ "@context": "http://schema.org", "@type": "Dataset", "@id": "https://explore.openaire.eu/search/publication?pid=10.5281%2Fzenodo.1058302", "name": "Distinguishing Innocent Murmurs From Murmurs Caused By Aortic Stenosis By Recurrence Quantification Analysis", "description": [ "{\"references\": [\"A. G. Tilkian and M. B. Conover, Understanding heart sounds and\\nmurmurs: with an introduction to lung sounds, 4. ed. Philadelphia:\\nSaunders, 2001.\", \"A. N. Pelech, \\\"The physiology of cardiac auscultation,\\\" Pediatr Clin\\nNorth Am, vol. 51, pp. 1515-1535, 2004.\", \"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.\", \"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.\", \"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.\", \"R. M. Rangayyan and R. J. Lehner, \\\"Phonocardiogram signal analysis: a\\nreview,\\\" Crit Rev Biomed Eng, vol. 15, pp. 211-236, 1987.\", \"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.\", \"I. Cathers, \\\"Neural network assisted cardiac auscultation,\\\" Artif. Intell.\\nMed., vol. 7, pp. 53-66, 1995.\", \"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.\"]} It is sometimes difficult to differentiate between innocent murmurs and pathologica..." ], "identifier": [ { "@type": "PropertyValue", "propertyID": "Digital Object Identifier", "value": "10.5281/zenodo.1058302" }, { "@type": "PropertyValue", "propertyID": "Digital Object Identifier", "value": "10.5281/zenodo.1058303" } ], "URL": "https://explore.openaire.eu/search/publication?pid=10.5281%2Fzenodo.1058302", "sameAs": [ "https://doi.org/10.5281/zenodo.1058302", "https://doi.org/10.5281/zenodo.1058303" ], "headline": "Distinguishing Innocent Murmurs From Murmurs Caused By Aortic Stenosis By Recurrence Quantification Analysis", "creator": [ { "@type": "Person", "familyName": "Christer Ahlstrom", "name": "Christer Ahlstrom" }, { "@type": "Person", "familyName": "Katja H枚glund", "name": "Katja H枚glund" }, { "@type": "Person", "familyName": "Peter Hult", "name": "Peter Hult" }, { "@type": "Person", "familyName": "Jens H盲ggstr枚m", "name": "Jens H盲ggstr枚m" }, { "@type": "Person", "familyName": "Clarence Kvart", "name": "Clarence Kvart" }, { "@type": "Person", "familyName": "Per Ask", "name": "Per Ask" } ], "dateCreated": "2008-06-24", "license": { "@type": "CreativeWork", "name": "Open Access", "identifier": { "@type": "PropertyValue", "propertyID": "dnet:access_modes", "value": "OPEN" } }, "keywords": "murmur, 0206 medical engineering, recurrence quantification analysis., 02 engineering and technology, Bioacoustics, phonocardiographic signal", "isPartOf": [ "https://explore.openaire.eu/search/find/research-outcomes?fos=%220206%20medical%20engineering%22", "https://explore.openaire.eu/search/find/research-outcomes?fos=%2202%20engineering%20and%20technology%22" ] }</script></div></schema2jsonld><div id="tm-main" class="landing uk-section uk-padding-remove tm-middle"><div class="tm-main"><div class="publication"><div uk-grid="" class="uk-grid uk-margin-remove-left"><div id="landing-center-content" class="uk-width-expand uk-padding-remove uk-background-default"><div id="graph_and_feedback" uk-sticky="end: true;" class="uk-blur-background uk-text-xsmall uk-visible@m" offset="0"><div class="uk-padding-xsmall"><div class="uk-container uk-container-xlarge uk-flex uk-flex-between uk-flex-wrap uk-margin-small-top uk-margin-small-bottom"><a href="https://graph.openaire.eu" target="_blank" class="uk-width-1-1 uk-width-auto@l"><img src="assets/common-assets/openaire-badge-1.png" alt="Powered by OpenAIRE graph" style="height: 15px;"></a><div class="uk-width-1-1 uk-width-auto@l"><span class="uk-text-meta uk-text-xsmall">Found an issue? </span><a class="uk-text-xsmall">Give us feedback</a></div></div></div></div><div class="uk-container uk-container-xlarge"><div class="uk-margin-top uk-margin-bottom"><div class="uk-flex uk-flex-middle uk-flex-center"><div class="landing-action-bar uk-box-shadow-small uk-margin-bottom"><div uk-grid="" class="uk-grid uk-grid-small uk-flex-between uk-text-xsmall uk-flex-middle uk-grid-divider"><div class="uk-width-auto"><div uk-grid="" class="uk-grid uk-grid-small uk-child-width-auto"><availableon><div class="uk-flex uk-flex-middle uk-grid uk-grid-small uk-child-width-auto" uk-grid=""><div><div class="uk-flex uk-flex-middle"><span uk-tooltip="" class="open-access uk-margin-xsmall-right" title="Open Access"><icon><span class="uk-icon uk-flex" style=""><svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 640 1000"> <metadata><rdf:rdf><cc:work rdf:about=""> <dc:format>image/svg+xml</dc:format> <dc:type rdf:resource="http://purl.org/dc/dcmitype/StillImage"></dc:type> <dc:creator>art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos</dc:creator> <dc:description>Open Access logo, converted into svg, designed by PLoS. 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caused by Aortic Stenosis by Recurrence Quantification Analysis</span></div></h1></showtitle></div><div class="uk-margin-bottom"><entity-metadata _nghost-explore-c436108646=""><div _ngcontent-explore-c436108646="" class="uk-text-xsmall entity-metadata uk-flex-inline uk-flex-wrap uk-text-emphasis"><span _ngcontent-explore-c436108646="" class="uk-flex-inline uk-flex-middle uk-flex-wrap other-separator"><icon _ngcontent-explore-c436108646="" name="description" type="outlined" class="uk-margin-xsmall-right"><span class="uk-flex"><span class="material-icons outlined" style="font-size: 16px;">description</span></span></icon><u _ngcontent-explore-c436108646="" class="uk-text-capitalize uk-text-bolder">Publication</u><span _ngcontent-explore-c436108646=""><icon _ngcontent-explore-c436108646="" name="keyboard_double_arrow_right"><span class="uk-flex"><span class="material-icons" style="font-size: 16px;">keyboard_double_arrow_right</span></span></icon></span></span><span _ngcontent-explore-c436108646="" class="uk-text-italic"> Article </span><span _ngcontent-explore-c436108646="">24 Jun 2008</span><span _ngcontent-explore-c436108646=""> English </span><showpublisher _ngcontent-explore-c436108646=""><span class="uk-text-meta uk-margin-xsmall-right">Publisher:</span><span>Zenodo</span></showpublisher></div><modal-alert _ngcontent-explore-c436108646=""><div uk-modal="container: #modal-container" class="uk-modal" id="modal-377817445"><div class="uk-modal-dialog"><div class="uk-modal-header uk-flex uk-flex-middle uk-flex-between uk-background-primary-opacity"><div class=""><h6 class="uk-margin-remove"></h6></div><button class="uk-close uk-icon uk-margin-left"><icon name="close" ratio="1.4"><span class="uk-display-inline-block"><span class="material-icons" style="font-size: 28px;">close</span></span></icon></button></div><div class="uk-modal-body uk-animation-fast uk-text-left" uk-overflow-auto=""><div _ngcontent-explore-c436108646="" uk-grid="" 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uk-margin-xsmall-right"> Authors: </span><span style="margin-right: 5px;" class="uk-text-italic"> Christer Ahlstrom; </span><span style="margin-right: 5px;" class="uk-text-italic"> Katja H枚glund; </span><span style="margin-right: 5px;" class="uk-text-italic"> Peter Hult; </span><span style="margin-right: 5px;" class="uk-text-italic"> Jens H盲ggstr枚m; </span><span style="margin-right: 5px;" class="uk-text-italic"> Clarence Kvart; </span><span style="margin-right: 5px;" class="uk-text-italic"> Per Ask; </span></div></showauthors></div></div></landing-header><div class="uk-text-small"><div class="uk-margin-small-top"><showidentifiers><div class="uk-height-max-medium uk-overflow-auto uk-text-small"><div class="uk-flex-inline uk-flex-wrap uk-margin-medium-right multi-line-ellipsis lines-2"><p class="uk-margin-remove"><span class="" id="doi"><span class="uk-text-meta uk-text-small uk-text-uppercase">doi: </span><span class=""><a target="_blank" class="uk-display-inline-block custom-external" href="https://doi.org/10.5281/zenodo.1058302"> 10.5281/zenodo.1058302 </a>, <a target="_blank" class="uk-display-inline-block custom-external" href="https://doi.org/10.5281/zenodo.1058303"> 10.5281/zenodo.1058303 </a></span></span></p></div></div><modal-alert><div uk-modal="container: #modal-container" class="uk-modal" id="modal-377817443"><div class="uk-modal-dialog"><div class="uk-modal-header uk-flex uk-flex-middle uk-flex-between uk-background-primary-opacity"><div class=""><h6 class="uk-margin-remove"></h6></div><button class="uk-close uk-icon uk-margin-left"><icon name="close" ratio="1.4"><span class="uk-display-inline-block"><span class="material-icons" style="font-size: 28px;">close</span></span></icon></button></div><div class="uk-modal-body uk-animation-fast uk-text-left" uk-overflow-auto=""><div class="uk-text-small"><div class="uk-flex-inline uk-flex-wrap uk-margin-medium-right lines-2 uk-margin-bottom"><p class="uk-margin-remove"><span class="uk-flex" id="doi"><span class="uk-text-meta uk-text-small uk-text-uppercase">doi: </span><span class="uk-margin-small-left"><a target="_blank" class="uk-display-inline-block custom-external" href="https://doi.org/10.5281/zenodo.1058302"> 10.5281/zenodo.1058302 </a>, <a target="_blank" class="uk-display-inline-block custom-external" href="https://doi.org/10.5281/zenodo.1058303"> 10.5281/zenodo.1058303 </a></span></span></p></div></div></div><div class="uk-modal-footer"><div uk-grid="" class="uk-grid uk-flex uk-flex-middle uk-margin-remove-left"><div class="uk-width-1-1 uk-padding-remove-horizontal"><div class="uk-width-1-1"><div uk-grid="" class="uk-flex-right uk-grid uk-grid-small"><span class=""><button class="uk-button uk-button-primary">OK</button></span><span><button class="uk-button uk-button-default uk-margin-small-left">Cancel</button></span></div></div></div></div></div></div></div></modal-alert></showidentifiers></div></div></div><div id="main-tabs-div" uk-sticky="end: true; media: @m" class="uk-sticky uk-blur-background"><div class="uk-padding uk-padding-remove-horizontal uk-padding-remove-bottom"><landing-header issticky="true" class="uk-invisible"><div class="title-section"><div class="uk-margin-small-bottom"><showtitle classnames="uk-margin-remove-bottom"><h1 class="uk-h6 uk-margin-remove-bottom"><div class="uk-text-break multi-line-ellipsis lines-1"><span title="Distinguishing Innocent Murmurs from Murmurs caused by Aortic Stenosis by Recurrence Quantification Analysis" uk-tooltip="cls: uk-invisible">Distinguishing Innocent Murmurs from Murmurs caused by Aortic Stenosis by Recurrence Quantification Analysis</span></div></h1></showtitle></div></div></landing-header><my-tabs><div id="mytabs" class="uk-grid uk-margin-top landing-tab uk-margin-remove-left"><div class="uk-margin-medium-right uk uk-padding-remove uk-width-expand"><div uk-slider="finite: true" class="uk-width-1-1"><div class="uk-position-relative"><div class="uk-slider-container"><ul class="uk-slider-items" style="flex-wrap: nowrap !important;"><li><ul class="uk-tab"><li class="uk-active"><a class="uk-width-1-1 uk-height-1-1 uk-flex uk-flex-center"><div>Summary</div></a></li></ul></li><li><ul class="uk-tab"><li class=""><a class="uk-width-1-1 uk-height-1-1 uk-flex uk-flex-center"><div>Subjects</div></a></li></ul></li><li><ul class="uk-tab"><li class=""><a class="uk-width-1-1 uk-height-1-1 uk-flex uk-flex-center"><div>Metrics</div></a></li></ul></li></ul></div><div><a uk-slider-item="previous" class="uk-position-center-left uk-blur-background"><span uk-icon="chevron-left"></span></a><a uk-slider-item="next" class="uk-position-center-right uk-blur-background"><span uk-icon="chevron-right"></span></a></div></div></div></div></div></my-tabs></div></div><div id="landing-sections" class="uk-text-small"><div id="summary" class="landing-section landing-section-height-auto"><div><div class="uk-margin-medium-bottom"><div class="uk-text-justify"><div class="uk-text-meta">Abstract</div><div class="multi-line-ellipsis lines-10"><div class="uk-margin-small-bottom"><p>{"references": ["A. G. Tilkian and M. B. Conover, Understanding heart sounds and\nmurmurs: with an introduction to lung sounds, 4. ed. Philadelphia:\nSaunders, 2001.", "A. N. Pelech, \"The physiology of cardiac auscultation,\" Pediatr Clin\nNorth Am, vol. 51, pp. 1515-1535, 2004.", "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.", "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.", "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.", "R. M. Rangayyan and R. J. Lehner, \"Phonocardiogram signal analysis: a\nreview,\" Crit Rev Biomed Eng, vol. 15, pp. 211-236, 1987.", "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.", "I. Cathers, \"Neural network assisted cardiac auscultation,\" Artif. Intell.\nMed., vol. 7, pp. 53-66, 1995.", "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."]}</p> <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></div></div></div></div></div><div id="subjects" class="landing-section landing-section-height-auto"><showsubjects><div class="uk-text-meta uk-margin-small-bottom"> Keywords </div><div class="uk-text-break multi-line-ellipsis lines-2"><p><span id="content">murmur, recurrence quantification analysis., Bioacoustics, phonocardiographic signal</span></p></div><modal-alert><div uk-modal="container: #modal-container" class="uk-modal" id="modal-377817444"><div class="uk-modal-dialog"><div class="uk-modal-header uk-flex uk-flex-middle uk-flex-between uk-background-primary-opacity"><div class=""><h6 class="uk-margin-remove"></h6></div><button class="uk-close uk-icon uk-margin-left"><icon name="close" ratio="1.4"><span class="uk-display-inline-block"><span class="material-icons" style="font-size: 28px;">close</span></span></icon></button></div><div 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d="M8.355,14.44v4.8h4.8v-4.8h-2.4a2.351,2.351,0,0,1,2.4-2.4V9.64S8.355,9.64,8.355,14.44Zm12-2.4V9.64s-4.8,0-4.8,4.8v4.8h4.8v-4.8h-2.4A2.351,2.351,0,0,1,20.355,12.04Z" transform="translate(-8.355 -9.64)" fill="#211f7e"></path> </svg></span></icon></td><td class="uk-padding-remove-top"><a class="uk-link uk-link-text uk-text-capitalize">citations</a><div uk-dropdown="pos: bottom-left; mode:click; container: #modal-container;" class="default-dropdown uk-dropdown"><div class="uk-padding-small uk-width-medium uk-text-small"><div>This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).</div></div></div></td><td class="uk-text-uppercase uk-text-bolder uk-padding-remove-top"> 0 </td></tr><tr><td class=""><icon><span class="uk-icon uk-flex bip-icon" style=""><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512" width="20" height="20"><path d="M159.3 5.4c7.8-7.3 19.9-7.2 27.7 .1c27.6 25.9 53.5 53.8 77.7 84c11-14.4 23.5-30.1 37-42.9c7.9-7.4 20.1-7.4 28 .1c34.6 33 63.9 76.6 84.5 118c20.3 40.8 33.8 82.5 33.8 111.9C448 404.2 348.2 512 224 512C98.4 512 0 404.1 0 276.5c0-38.4 17.8-85.3 45.4-131.7C73.3 97.7 112.7 48.6 159.3 5.4zM225.7 416c25.3 0 47.7-7 68.8-21c42.1-29.4 53.4-88.2 28.1-134.4c-2.8-5.6-5.6-11.2-9.8-16.8l-50.6 58.8s-81.4-103.6-87.1-110.6C133.1 243.8 112 273.2 112 306.8C112 375.4 162.6 416 225.7 416z"></path></svg></span></icon></td><td class=""><a class="uk-link uk-link-text uk-text-capitalize">popularity</a><div uk-dropdown="pos: bottom-left; mode:click; container: #modal-container;" class="default-dropdown uk-dropdown"><div class="uk-padding-small uk-width-medium uk-text-small"><div>This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.</div></div></div></td><td class="uk-text-uppercase uk-text-bolder"> Average </td></tr><tr><td class=""><icon><span class="uk-icon uk-flex bip-icon" style=""><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512" width="20" height="20"><path d="M240.1 4.2c9.8-5.6 21.9-5.6 31.8 0l171.8 98.1L448 104l0 .9 47.9 27.4c12.6 7.2 18.8 22 15.1 36s-16.4 23.8-30.9 23.8H32c-14.5 0-27.2-9.8-30.9-23.8s2.5-28.8 15.1-36L64 104.9V104l4.4-1.6L240.1 4.2zM64 224h64V416h40V224h64V416h48V224h64V416h40V224h64V420.3c.6 .3 1.2 .7 1.8 1.1l48 32c11.7 7.8 17 22.4 12.9 35.9S494.1 512 480 512H32c-14.1 0-26.5-9.2-30.6-22.7s1.1-28.1 12.9-35.9l48-32c.6-.4 1.2-.7 1.8-1.1V224z"></path></svg></span></icon></td><td class=""><a class="uk-link uk-link-text uk-text-capitalize">influence</a><div uk-dropdown="pos: bottom-left; mode:click; container: #modal-container;" class="default-dropdown uk-dropdown"><div class="uk-padding-small uk-width-medium uk-text-small"><div>This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).</div></div></div></td><td class="uk-text-uppercase uk-text-bolder"> Average </td></tr><tr><td class="uk-padding-remove-bottom"><icon><span class="uk-icon uk-flex bip-icon" style=""><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512" width="20" height="20"><path d="M156.6 384.9L125.7 354c-8.5-8.5-11.5-20.8-7.7-32.2c3-8.9 7-20.5 11.8-33.8L24 288c-8.6 0-16.6-4.6-20.9-12.1s-4.2-16.7 .2-24.1l52.5-88.5c13-21.9 36.5-35.3 61.9-35.3l82.3 0c2.4-4 4.8-7.7 7.2-11.3C289.1-4.1 411.1-8.1 483.9 5.3c11.6 2.1 20.6 11.2 22.8 22.8c13.4 72.9 9.3 194.8-111.4 276.7c-3.5 2.4-7.3 4.8-11.3 7.2v82.3c0 25.4-13.4 49-35.3 61.9l-88.5 52.5c-7.4 4.4-16.6 4.5-24.1 .2s-12.1-12.2-12.1-20.9V380.8c-14.1 4.9-26.4 8.9-35.7 11.9c-11.2 3.6-23.4 .5-31.8-7.8zM384 168c22.1 0 40-17.9 40-40s-17.9-40-40-40s-40 17.9-40 40s17.9 40 40 40z"></path></svg></span></icon></td><td class="uk-padding-remove-bottom"><a class="uk-link uk-link-text uk-text-capitalize">impulse</a><div uk-dropdown="pos: bottom-left; mode:click; container: #modal-container;" class="default-dropdown uk-dropdown"><div class="uk-padding-small uk-width-medium uk-text-small"><div>This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.</div></div></div></td><td class="uk-text-uppercase uk-text-bolder uk-padding-remove-bottom"> Average </td></tr></tbody></table></div></div></div></div></li><li></li></ul></div></div><div class="uk-text-xsmall uk-hidden@m"><div class="uk-padding-xsmall"><div class="uk-container uk-container-xlarge uk-flex uk-flex-between uk-flex-wrap uk-margin-small-top uk-margin-small-bottom"><a href="https://graph.openaire.eu" target="_blank" class="uk-width-1-1 uk-width-auto@l"><img src="assets/common-assets/openaire-badge-1.png" alt="Powered by OpenAIRE graph" style="height: 15px;"></a><div class="uk-width-1-1 uk-width-auto@l"><span class="uk-text-meta uk-text-xsmall">Found an issue? </span><a class="uk-text-xsmall">Give us feedback</a></div></div></div></div></div></div></div><div id="landing-right-sidebar" class="uk-width-1-3 uk-width-1-4@l uk-padding-remove uk-text-small uk-visible@m"><div uk-sticky="end: true" class="uk-sticky"><div class="uk-overflow-auto uk-height-1-1"><div class="uk-margin-medium-top uk-padding uk-padding-remove-vertical"><div class="landing-metrics-card uk-text-small uk-flex uk-padding-small"><div class="uk-width-expand uk-flex uk-flex-top"><div uk-grid="" uk-height-match="target: > div > .cell" class="uk-grid uk-grid-small uk-flex-nowrap"><div><div class="cell uk-flex uk-flex-middle uk-margin-xsmall-bottom"><icon><span class="uk-icon uk-flex" style=""><svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 12 9.6"> <path id="Icon_metro-quote" data-name="Icon metro-quote" d="M8.355,14.44v4.8h4.8v-4.8h-2.4a2.351,2.351,0,0,1,2.4-2.4V9.64S8.355,9.64,8.355,14.44Zm12-2.4V9.64s-4.8,0-4.8,4.8v4.8h4.8v-4.8h-2.4A2.351,2.351,0,0,1,20.355,12.04Z" transform="translate(-8.355 -9.64)" fill="#211f7e"></path> </svg></span></icon></div><div class="cell uk-flex uk-flex-middle uk-margin-xsmall-bottom"><icon><span class="uk-icon uk-flex" style=""><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512" width="16" height="16"><path d="M159.3 5.4c7.8-7.3 19.9-7.2 27.7 .1c27.6 25.9 53.5 53.8 77.7 84c11-14.4 23.5-30.1 37-42.9c7.9-7.4 20.1-7.4 28 .1c34.6 33 63.9 76.6 84.5 118c20.3 40.8 33.8 82.5 33.8 111.9C448 404.2 348.2 512 224 512C98.4 512 0 404.1 0 276.5c0-38.4 17.8-85.3 45.4-131.7C73.3 97.7 112.7 48.6 159.3 5.4zM225.7 416c25.3 0 47.7-7 68.8-21c42.1-29.4 53.4-88.2 28.1-134.4c-2.8-5.6-5.6-11.2-9.8-16.8l-50.6 58.8s-81.4-103.6-87.1-110.6C133.1 243.8 112 273.2 112 306.8C112 375.4 162.6 416 225.7 416z"></path></svg></span></icon></div><div class="cell uk-flex uk-flex-middle uk-margin-xsmall-bottom"><icon><span class="uk-icon uk-flex" style=""><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512" width="16" height="16"><path d="M240.1 4.2c9.8-5.6 21.9-5.6 31.8 0l171.8 98.1L448 104l0 .9 47.9 27.4c12.6 7.2 18.8 22 15.1 36s-16.4 23.8-30.9 23.8H32c-14.5 0-27.2-9.8-30.9-23.8s2.5-28.8 15.1-36L64 104.9V104l4.4-1.6L240.1 4.2zM64 224h64V416h40V224h64V416h48V224h64V416h40V224h64V420.3c.6 .3 1.2 .7 1.8 1.1l48 32c11.7 7.8 17 22.4 12.9 35.9S494.1 512 480 512H32c-14.1 0-26.5-9.2-30.6-22.7s1.1-28.1 12.9-35.9l48-32c.6-.4 1.2-.7 1.8-1.1V224z"></path></svg></span></icon></div><div class="cell uk-flex uk-flex-middle uk-margin-xsmall-bottom"><icon><span class="uk-icon uk-flex" style=""><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512" width="16" height="16"><path d="M156.6 384.9L125.7 354c-8.5-8.5-11.5-20.8-7.7-32.2c3-8.9 7-20.5 11.8-33.8L24 288c-8.6 0-16.6-4.6-20.9-12.1s-4.2-16.7 .2-24.1l52.5-88.5c13-21.9 36.5-35.3 61.9-35.3l82.3 0c2.4-4 4.8-7.7 7.2-11.3C289.1-4.1 411.1-8.1 483.9 5.3c11.6 2.1 20.6 11.2 22.8 22.8c13.4 72.9 9.3 194.8-111.4 276.7c-3.5 2.4-7.3 4.8-11.3 7.2v82.3c0 25.4-13.4 49-35.3 61.9l-88.5 52.5c-7.4 4.4-16.6 4.5-24.1 .2s-12.1-12.2-12.1-20.9V380.8c-14.1 4.9-26.4 8.9-35.7 11.9c-11.2 3.6-23.4 .5-31.8-7.8zM384 168c22.1 0 40-17.9 40-40s-17.9-40-40-40s-40 17.9-40 40s17.9 40 40 40z"></path></svg></span></icon></div></div><div><div class="cell uk-margin-xsmall-bottom"><a class="uk-text-capitalize">citations</a><div uk-dropdown="pos: bottom-left; mode:click; container: #modal-container;" class="default-dropdown uk-dropdown"><div class="uk-padding-small uk-width-medium uk-text-small"><div>This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).</div><div class="uk-flex uk-margin-top"><a href="https://bip.imsi.athenarc.gr/" target="_blank"><img class="uk-margin-small-right" src="assets/common-assets/bip-minimal.svg" loading="lazy" alt="BIP!" style="width: 40px;"></a><span class="uk-text-uppercase">Citations provided by <a href="https://bip.imsi.athenarc.gr/" target="_blank" class="uk-link-reset"><strong>BIP!</strong></a></span></div></div></div></div><div class="cell uk-margin-xsmall-bottom"><a class="uk-text-capitalize">popularity</a><div uk-dropdown="pos: bottom-left; mode:click; container: #modal-container;" class="default-dropdown uk-dropdown"><div class="uk-padding-small uk-width-medium uk-text-small"><div>This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.</div><div class="uk-flex uk-margin-top"><a href="https://bip.imsi.athenarc.gr/" target="_blank"><img class="uk-margin-small-right" src="assets/common-assets/bip-minimal.svg" loading="lazy" alt="BIP!" style="width: 40px;"></a><span class="uk-text-uppercase">Popularity provided by <a href="https://bip.imsi.athenarc.gr/" target="_blank" class="uk-link-reset"><strong>BIP!</strong></a></span></div></div></div></div><div class="cell uk-margin-xsmall-bottom"><a class="uk-text-capitalize">influence</a><div uk-dropdown="pos: bottom-left; mode:click; container: #modal-container;" class="default-dropdown uk-dropdown"><div class="uk-padding-small uk-width-medium uk-text-small"><div>This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).</div><div class="uk-flex uk-margin-top"><a href="https://bip.imsi.athenarc.gr/" target="_blank"><img class="uk-margin-small-right" src="assets/common-assets/bip-minimal.svg" loading="lazy" alt="BIP!" style="width: 40px;"></a><span class="uk-text-uppercase">Influence provided by <a href="https://bip.imsi.athenarc.gr/" target="_blank" class="uk-link-reset"><strong>BIP!</strong></a></span></div></div></div></div><div class="cell uk-margin-xsmall-bottom"><a class="uk-text-capitalize">impulse</a><div uk-dropdown="pos: bottom-left; mode:click; container: #modal-container;" class="default-dropdown uk-dropdown"><div class="uk-padding-small uk-width-medium uk-text-small"><div>This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.</div><div class="uk-flex uk-margin-top"><a href="https://bip.imsi.athenarc.gr/" target="_blank"><img class="uk-margin-small-right" src="assets/common-assets/bip-minimal.svg" loading="lazy" alt="BIP!" style="width: 40px;"></a><span class="uk-text-uppercase">Impulse provided by <a href="https://bip.imsi.athenarc.gr/" target="_blank" class="uk-link-reset"><strong>BIP!</strong></a></span></div></div></div></div></div><div class="uk-text-uppercase uk-text-bolder"><div class="cell uk-margin-xsmall-bottom" title="0" uk-tooltip="cls: uk-invisible"> 0 </div><div class="cell uk-margin-xsmall-bottom"> Average </div><div 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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.","{\"references\": [\"A. G. Tilkian and M. B. Conover, Understanding heart sounds and\\nmurmurs: with an introduction to lung sounds, 4. ed. Philadelphia:\\nSaunders, 2001.\", \"A. N. Pelech, \\\"The physiology of cardiac auscultation,\\\" Pediatr Clin\\nNorth Am, vol. 51, pp. 1515-1535, 2004.\", \"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.\", \"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.\", \"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.\", \"R. M. Rangayyan and R. J. Lehner, \\\"Phonocardiogram signal analysis: a\\nreview,\\\" Crit Rev Biomed Eng, vol. 15, pp. 211-236, 1987.\", \"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.\", \"I. Cathers, \\\"Neural network assisted cardiac auscultation,\\\" Artif. Intell.\\nMed., vol. 7, pp. 53-66, 1995.\", \"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. 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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.\"]}"],"pid":[{"trust":0.9,"classid":"doi","provenanceaction":"sysimport:actionset","classname":"Digital Object Identifier","schemename":"dnet:pid_types","inferred":false,"schemeid":"dnet:pid_types","content":"10.5281/zenodo.1058302"},{"trust":0.9,"classid":"doi","provenanceaction":"sysimport:crosswalk:repository","classname":"Digital Object Identifier","schemename":"dnet:pid_types","inferred":false,"schemeid":"dnet:pid_types","content":"10.5281/zenodo.1058303"}],"language":{"classid":"eng","classname":"English","schemename":"dnet:languages","schemeid":"dnet:languages"},"title":[{"classid":"main title","classname":"main title","schemename":"dnet:dataCite_title","schemeid":"dnet:dataCite_title","content":"Distinguishing Innocent Murmurs From Murmurs Caused By Aortic Stenosis By Recurrence Quantification Analysis"},{"trust":0.9,"classid":"main title","provenanceaction":"sysimport:crosswalk:repository","classname":"main title","schemename":"dnet:dataCite_title","inferred":false,"schemeid":"dnet:dataCite_title","content":"Distinguishing Innocent Murmurs from Murmurs caused by Aortic Stenosis by Recurrence Quantification Analysis"}],"resourcetype":{"classid":"UNKNOWN","classname":"UNKNOWN","schemename":"dnet:dataCite_resource","schemeid":"dnet:dataCite_resource"},"resulttype":{"classid":"publication","classname":"publication","schemename":"dnet:result_typologies","schemeid":"dnet:result_typologies"},"rels":"","measure":[{"score":2.8970693e-9,"id":"influence","class":"C5"},{"score":5.276286e-10,"id":"popularity","class":"C5"},{"score":0,"id":"influence_alt","class":"C5"},{"score":0,"id":"popularity_alt","class":"C5"},{"score":0,"id":"impulse","class":"C5"},{"score":10,"datasource":"opendoar____::358aee4cc897452c00244351e4d91f69||ZENODO","id":"downloads"},{"score":20,"datasource":"opendoar____::358aee4cc897452c00244351e4d91f69||ZENODO","id":"views"}],"relevantdate":[{"classid":"issued","classname":"issued","schemename":"dnet:dataCite_date","schemeid":"dnet:dataCite_date","content":"2008-06-24"},{"trust":0.9,"classid":"updated","provenanceaction":"sysimport:crosswalk:repository","classname":"updated","schemename":"dnet:dataCite_date","inferred":false,"schemeid":"dnet:dataCite_date","content":"2020-01-20"}],"datainfo":{"trust":0.8,"provenanceaction":{"classid":"sysimport:dedup","classname":"Inferred by OpenAIRE","schemename":"dnet:provenanceActions","schemeid":"dnet:provenanceActions"},"inferenceprovenance":"dedup-result-decisiontree-v4","inferred":true,"deletedbyinference":false},"isgreen":true,"children":{"result":[{"creator":["Kvart, Clarence","Hult, Peter","H枚glund, Katja","H盲ggstr枚m, Jens","Ahlstrom, Christer","Ask, Per"],"instance":{"license":"CC BY","hostedby":{"name":"ZENODO","id":"opendoar____::358aee4cc897452c00244351e4d91f69"},"dateofacceptance":"2008-06-24","webresource":{"url":"https://dx.doi.org/10.5281/zenodo.1058302"},"accessright":{"classid":"OPEN","classname":"Open Access","schemename":"dnet:access_modes","schemeid":"dnet:access_modes"},"instancetype":{"classid":"0001","classname":"Article","schemename":"dnet:publication_resource","schemeid":"dnet:publication_resource"},"refereed":{"classid":"0002","classname":"nonPeerReviewed","schemename":"dnet:review_levels","schemeid":"dnet:review_levels"},"url":"https://dx.doi.org/10.5281/zenodo.1058302"},"dateofacceptance":"2008-06-24","collectedfrom":{"name":"Datacite","id":"openaire____::9e3be59865b2c1c335d32dae2fe7b254"},"publisher":"Zenodo","description":"{\"references\": [\"A. 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