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The algorithm uses a technique called empirical mode decomposition to produce intensity envelopes of the main heart sounds in the time domain. The performance of the algorithm was evaluated using 14,000 cardiac periods from 100 normal and abnormal digital phonocardiographic recordings. The sensitivity of the detection method was 88.3% for both S1 and S2, and the precision (positive predictive value) was 95.8% for both S1 and S2.<\/jats:p>","DOI":"10.1177\/0954411913493734","type":"journal-article","created":{"date-parts":[[2013,6,13]],"date-time":"2013-06-13T23:53:23Z","timestamp":1371167603000},"page":"976-987","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":13,"title":["Detection and identification of first and second heart sounds using empirical mode decomposition"],"prefix":"10.1177","volume":"227","author":[{"given":"Kourosh","family":"Bajelani","sequence":"first","affiliation":[{"name":"Department of Mechanical Engineering, Iran University of Science and Technology, Tehran, Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mahdi","family":"Navidbakhsh","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, Iran University of Science and Technology, Tehran, Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hamid","family":"Behnam","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John D","family":"Doyle","sequence":"additional","affiliation":[{"name":"Department of General Anesthesiology, Cleveland Clinic, Lerner College of Medicine, Case Western Reserve University, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kamran","family":"Hassani","sequence":"additional","affiliation":[{"name":"Department of Biomechanics, Science and Research Branch, Islamic Azad University, Tehran, Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2013,6,13]]},"reference":[{"issue":"3","key":"bibr1-0954411913493734","first-page":"211","volume":"15","author":"Rangayyan RM","year":"1987","journal-title":"Crit Rev Biomed Eng"},{"key":"bibr2-0954411913493734","doi-asserted-by":"publisher","DOI":"10.1007\/s10439-005-4053-3"},{"key":"bibr3-0954411913493734","first-page":"194","volume-title":"IEEE international workshop on intelligent signal processing","author":"Carvalho P"},{"key":"bibr4-0954411913493734","first-page":"1","volume-title":"IEEE colloquium on artificial intelligence methods for biomedical data processing","author":"Hebden JE"},{"key":"bibr5-0954411913493734","first-page":"354","volume-title":"4th international IEEE EMBS special topic conference on information technology applications in biomedicine","author":"Stasis AC"},{"key":"bibr6-0954411913493734","first-page":"105","volume-title":"Conference on computers in cardiology","author":"Liang H"},{"key":"bibr7-0954411913493734","first-page":"593","volume-title":"Conference on computers in cardiology","author":"Liang H"},{"key":"bibr8-0954411913493734","first-page":"1180","volume-title":"Proceedings of IEEE international conference on acoustics, speech and signal processing","volume":"2","author":"Kumar D"},{"key":"bibr9-0954411913493734","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2009.2033730"},{"key":"bibr10-0954411913493734","doi-asserted-by":"publisher","DOI":"10.1007\/s10439-009-9730-1"},{"key":"bibr11-0954411913493734","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2007.891936"},{"key":"bibr12-0954411913493734","doi-asserted-by":"publisher","DOI":"10.1114\/B:ABME.0000042223.87320.de"},{"key":"bibr13-0954411913493734","unstructured":"Andreoli TE, Carpenter CCJ. 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