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An open access database for the evaluation of heart sound algorithms

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An open access database for the evaluation of heart sound algorithms

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dc.contributor.author Liu, Chengyu es_ES
dc.contributor.author Springer, David Castells es_ES
dc.contributor.author Moody, Benjamin es_ES
dc.contributor.author Abad Juan, Ricardo Carlos es_ES
dc.contributor.author Li, Qiao es_ES
dc.contributor.author Moody, Benjamin  es_ES
dc.contributor.author Chorro, Francisco J. es_ES
dc.contributor.author Castells Ramón, Francisco Sales es_ES
dc.contributor.author Millet Roig, José es_ES
dc.contributor.author Silva, Ikaro es_ES
dc.contributor.author Johnson, Alistair E. W. es_ES
dc.contributor.author Syed, Zeeshan es_ES
dc.contributor.author Schmidt, Samuel E. es_ES
dc.contributor.author Papadaniil, Chrysa D. es_ES
dc.date.accessioned 2017-06-29T14:50:11Z
dc.date.available 2017-06-29T14:50:11Z
dc.date.issued 2016-11-21
dc.identifier.issn 0967-3334
dc.identifier.uri http://hdl.handle.net/10251/84129
dc.description This is an author-created, un-copyedited version of an article published in Physiological Measurement. IOP Publishing Ltd is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The Version of Record is available online at https://doi.org/10.1088/0967-3334/37/12/2181 es_ES
dc.description.abstract In the past few decades, analysis of heart sound signals (i.e. the phonocardiogram or PCG), especially for automated heart sound segmentation and classification, has been widely studied and has been reported to have the potential value to detect pathology accurately in clinical applications. However, comparative analyses of algorithms in the literature have been hindered by the lack of high-quality, rigorously validated, and standardized open databases of heart sound recordings. This paper describes a public heart sound database, assembled for an international competition, the PhysioNet/Computing in Cardiology (CinC) Challenge 2016. The archive comprises nine different heart sound databases sourced from multiple research groups around the world. It includes 2435 heart sound recordings in total collected from 1297 healthy subjects and patients with a variety of conditions, including heart valve disease and coronary artery disease. The recordings were collected from a variety of clinical or nonclinical (such as in-home visits) environments and equipment. The length of recording varied from several seconds to several minutes. This article reports detailed information about the subjects/patients including demographics (number, age, gender), recordings (number, location, state and time length), associated synchronously recorded signals, sampling frequency and sensor type used. We also provide a brief summary of the commonly used heart sound segmentation and classification methods, including open source code provided concurrently for the Challenge. A description of the PhysioNet/CinC Challenge 2016, including the main aims, the training and test sets, the hand corrected annotations for different heart sound states, the scoring mechanism, and associated open source code are provided. In addition, several potential benefits from the public heart sound database are discussed. es_ES
dc.description.sponsorship This work was supported by the National Institutes of Health (NIH) grant R01-EB001659 from the National Institute of Biomedical Imaging and Bioengineering (NIBIB) and R01GM104987 from the National Institute of General Medical Sciences. en_EN
dc.language Inglés es_ES
dc.publisher IOP Publishing es_ES
dc.relation National Institute of Biomedical Imaging and Bioengineering (NIBIB) [R01-EB001659] es_ES
dc.relation National Institute of General Medical Sciences [R01GM104987] es_ES
dc.relation.ispartof Physiological Measurement es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Heart sound es_ES
dc.subject Phonocardiogram (PCG) es_ES
dc.subject Database es_ES
dc.subject Heart sound classification es_ES
dc.subject Heart sound segmentation es_ES
dc.subject PhysioNet/CinC Challenge es_ES
dc.subject.classification TECNOLOGIA ELECTRONICA es_ES
dc.title An open access database for the evaluation of heart sound algorithms es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1088/0967-3334/37/12/2181
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Telecomunicación - Escola Tècnica Superior d'Enginyers de Telecomunicació es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Politécnica Superior de Gandia - Escola Politècnica Superior de Gandia es_ES
dc.description.bibliographicCitation Liu, C.; Springer, DC.; Li, Q.; Moody, B.; Abad Juan, RC.; Li, Q.; Moody, B.... (2016). An open access database for the evaluation of heart sound algorithms. Physiological Measurement. 37(12):2181-2213. doi:10.1088/0967-3334/37/12/2181 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1088/0967-3334/37/12/2181 es_ES
dc.description.upvformatpinicio 2181 es_ES
dc.description.upvformatpfin 2213 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 37 es_ES
dc.description.issue 12 es_ES
dc.relation.senia 333870 es_ES


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