{"title":"一种基于小波的心音分割与特征提取算法","authors":"S. Omran, M. Tayel","doi":"10.1109/ISCCSP.2004.1296268","DOIUrl":null,"url":null,"abstract":"A heart sound segmentation and feature extraction algorithm, which separates the heart sound signal into four parts: the first heart sound S1, the systolic period, the second heart sound S2, and the diastolic period. A features extraction algorithm has been developed. The algorithm uses discrete wavelet decomposition and reconstruction to produce approximations and details of the original phonocardiographic signal.","PeriodicalId":146713,"journal":{"name":"First International Symposium on Control, Communications and Signal Processing, 2004.","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"23","resultStr":"{\"title\":\"A heart sound segmentation and feature extraction algorithm using wavelets\",\"authors\":\"S. Omran, M. Tayel\",\"doi\":\"10.1109/ISCCSP.2004.1296268\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A heart sound segmentation and feature extraction algorithm, which separates the heart sound signal into four parts: the first heart sound S1, the systolic period, the second heart sound S2, and the diastolic period. A features extraction algorithm has been developed. The algorithm uses discrete wavelet decomposition and reconstruction to produce approximations and details of the original phonocardiographic signal.\",\"PeriodicalId\":146713,\"journal\":{\"name\":\"First International Symposium on Control, Communications and Signal Processing, 2004.\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-09-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"23\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"First International Symposium on Control, Communications and Signal Processing, 2004.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCCSP.2004.1296268\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"First International Symposium on Control, Communications and Signal Processing, 2004.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCCSP.2004.1296268","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A heart sound segmentation and feature extraction algorithm using wavelets
A heart sound segmentation and feature extraction algorithm, which separates the heart sound signal into four parts: the first heart sound S1, the systolic period, the second heart sound S2, and the diastolic period. A features extraction algorithm has been developed. The algorithm uses discrete wavelet decomposition and reconstruction to produce approximations and details of the original phonocardiographic signal.