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Then, the extracted features were windowed by a Moving Logarithmic Median Window (MLMW) and optimum features were selected using Mahalanobis, Bhattacharyya, Canberra, and Minkowski distance criteria. Finally, using the selected features, classification was performed by using the K-Nearest Neighbor (KNN) and the Suppor Vector Machine (SVM) classifiers to find out whether a segment is prolapsed. The best results of the experiment on the collected database contain 15 prolapsed and 6 non-prolapsed subjects using the A-test method show 96.25\u00a0\u00b1\u00a02.43 accuracy, 98.5\u00a0\u00b1\u00a03.37 sensitivity, 94.0\u00a0\u00b1\u00a05.16 specificity, 96.0\u00a0\u00b1\u00a03.44 precision, 92.5\u00a0\u00b1\u00a04.86 kappa, and 96.6\u00a0\u00b1\u00a02.34 f-score with the SVM classifier.<\/jats:p>","DOI":"10.1088\/2057-1976\/abcaab","type":"journal-article","created":{"date-parts":[[2020,11,16]],"date-time":"2020-11-16T17:15:10Z","timestamp":1605546910000},"page":"015003","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["Phonocardiography-based mitral valve prolapse detection with using fractional fourier transform"],"prefix":"10.1088","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0336-6553","authenticated-orcid":false,"given":"Mahtab","family":"Mehrabbeik","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1075-989X","authenticated-orcid":false,"given":"Saeid","family":"Rashidi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5078-8391","authenticated-orcid":false,"given":"Ali","family":"Fallah","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Elaheh","family":"Rafiei Khoshnood","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"266","published-online":{"date-parts":[[2020,11,25]]},"reference":[{"key":"bpexabcaabbib1","first-page":"787","author":"Betts","year":"2014","type":"book"},{"key":"bpexabcaabbib2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1056\/NEJM199907013410101","type":"journal-article","volume":"341","author":"Freed","year":"1999","journal-title":"Prevalence and Clinical Outcome of Mitral-valve Prolapse"},{"key":"bpexabcaabbib3","doi-asserted-by":"publisher","first-page":"1281","DOI":"10.1016\/0002-8703(87)90956-2","type":"journal-article","article-title":"Prevalence and clinical features of mitral valve prolapse","volume":"113","author":"Levy","year":"1987","journal-title":"Am. 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