{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,20]],"date-time":"2026-02-20T02:37:09Z","timestamp":1771555029164,"version":"3.50.1"},"reference-count":60,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004329","name":"Javna Agencija za Raziskovalno Dejavnost RS","doi-asserted-by":"publisher","award":["PR-10495"],"award-info":[{"award-number":["PR-10495"]}],"id":[{"id":"10.13039\/501100004329","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Basic Core Funding","award":["P2-0209"],"award-info":[{"award-number":["P2-0209"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Biomed. Health Inform."],"published-print":{"date-parts":[[2024,11]]},"DOI":"10.1109\/jbhi.2024.3458430","type":"journal-article","created":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T19:18:55Z","timestamp":1725995935000},"page":"6874-6885","source":"Crossref","is-referenced-by-count":8,"title":["PCGmix: A Data-Augmentation Method for Heart-Sound Classification"],"prefix":"10.1109","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0920-1952","authenticated-orcid":false,"given":"David","family":"Susi\u010d","sequence":"first","affiliation":[{"name":"Department of Intelligent Systems, Jožef Stefan Institute, Ljubljana, Slovenia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6480-9587","authenticated-orcid":false,"given":"Anton","family":"Gradi\u0161ek","sequence":"additional","affiliation":[{"name":"Department of Intelligent Systems, Jožef Stefan Institute, Ljubljana, Slovenia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5747-0711","authenticated-orcid":false,"given":"Matja\u017e","family":"Gams","sequence":"additional","affiliation":[{"name":"Department of Intelligent Systems, Jožef Stefan Institute, Ljubljana, Slovenia"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Cardiovascular diseases (CVDs","year":"2021"},{"key":"ref2","article-title":"Cardiovascular diseases (CVD","year":"2023"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejmp.2019.05.004"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.csbj.2016.11.001"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2968900"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2020.105604"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3390\/s19214819"},{"key":"ref8","volume-title":"Deep Learning","author":"Goodfellow","year":"2016"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4899-7502-7_79-1"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1186\/1475-925x-1-6"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2015.09.001"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.22489\/cinc.2016.162-186"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s13755-019-0078-0"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1186\/s13634-019-0651-3"},{"key":"ref15","first-page":"557","article-title":"Using spectral acoustic features to identify abnormal heart sounds","volume-title":"2016 Cardiol. Conf.","author":"Singh-Miller","year":"2016"},{"key":"ref16","first-page":"1133","article-title":"Morphological determination of pathological PCG signals by time and frequency domain analysis","volume-title":"2016 Comput. Cardiol. Conf.","author":"Goda","year":"2016"},{"key":"ref17","first-page":"817","article-title":"Automatic heart sound recording classification using a nested set of ensemble algorithms","volume-title":"2016 Comput. Cardiol. Conf.","author":"Homsi","year":"2016"},{"key":"ref18","first-page":"589","article-title":"Heart sound classification based on temporal alignment techniques","volume-title":"2016 Comput. Cardiol. Conf.","author":"GonzlezOrtiz","year":"2016"},{"key":"ref19","first-page":"1141","article-title":"A novel approach for classification of normal\/abnormal phonocardiogram recordings using temporal signal analysis and machine learning","volume-title":"2016 Comput. Cardiol. Conf.","author":"Vernekar","year":"2016"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/iembs.2010.5625940"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.5120\/13381-1001"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/4281243"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3389\/fcvm.2022.1009821"},{"key":"ref24","first-page":"1129","article-title":"PCG classification using a neural network approach","volume-title":"2016 Comput. Cardiol. Conf.","author":"Grzegorczyk","year":"2016"},{"key":"ref25","first-page":"613","article-title":"Heart sound anomaly and quality detection using ensemble of neural networks without segmentation","volume-title":"2016 Comput. Cardiol. Conf.","author":"Zabihi","year":"2016"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-019-1415-1"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6579\/aa6a3d"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.23919\/splitech58164.2023.10193726"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1186\/s12938-020-0747-x"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.22489\/cinc.2016.236-175"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1186\/s12911-022-01942-2"},{"key":"ref32","first-page":"585","article-title":"Normal\/abnormal heart sound recordings classification using convolutional neural network","volume-title":"2016 Comput. Cardiol. Conf.","author":"Nilanon","year":"2016"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-67220-5_1"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2934827"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC46164.2021.9629714"},{"key":"ref36","first-page":"621","article-title":"Ensemble of feature-based and deep learning-based classifiers for detection of abnormal heart sounds","volume-title":"2016 Comput. Cardiol. Conf.","author":"Potes","year":"2016"},{"key":"ref37","first-page":"1153","article-title":"Classification of heart sound recordings using convolution neural network","volume-title":"2016 Comput. Cardiol. Conf.","author":"Ryu","year":"2016"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2961132"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2020.2970252"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2018.8512578"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.09.101"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2020.105750"},{"key":"ref43","first-page":"569","article-title":"Classification of acoustic physiological signals based on deep learning neural networks with augmented features","volume-title":"2016 Comput. Cardiol. Conf.","author":"Yang","year":"2016"},{"key":"ref44","article-title":"Improved regularization of convolutional neural networks with cutout","author":"DeVries","year":"2017"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.3390\/app11104544"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0254841"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/3136755.3136817"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1088\/0967-3334\/37\/12\/2181"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1161\/01.CTR.101.23.e215"},{"key":"ref50","first-page":"609","article-title":"Classification of normal\/abnormal heart sound recordings: The PhysioNet\/Computing in cardiology challenge 2016","volume-title":"2016 Comput. Cardiol. Conf.","author":"Clifford","year":"2016"},{"key":"ref51","first-page":"1","article-title":"Manifold mixup: Better representations by interpolating hidden states","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Verma","year":"2019"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ubmk.2019.8907003"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.21437\/interspeech.2019-2680"},{"key":"ref54","article-title":"Embarrassingly simple MixUp for time-series","author":"Aggarwal","year":"2023"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/tbme.2015.2475278"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/cic.2008.4749049"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2017.7966039"},{"key":"ref58","first-page":"1","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Kingma","year":"2014"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1117\/12.2520589"},{"key":"ref60","first-page":"5275","article-title":"Puzzle mix: Exploiting saliency and local statistics for optimal mixup","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Kim","year":"2020"}],"container-title":["IEEE Journal of Biomedical and Health Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6221020\/10745910\/10675426.pdf?arnumber=10675426","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T00:36:23Z","timestamp":1732667783000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10675426\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11]]},"references-count":60,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/jbhi.2024.3458430","relation":{},"ISSN":["2168-2194","2168-2208"],"issn-type":[{"value":"2168-2194","type":"print"},{"value":"2168-2208","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,11]]}}}