{"title":"MULTIWAVE:一种基于多分辨率小波的心电数据压缩算法","authors":"N. Thakor, Y. Sun, Hervé Rix, P. Caminal","doi":"10.1109/CIC.1993.378421","DOIUrl":null,"url":null,"abstract":"MULTIWAVE is a multiresolution wavelet-based algorithm for data compression of ECG signals. ECG signals are decomposed into coarse and fine components. Decomposition is carried out by a pyramidal algorithm that analyzes the signal at successive scales by convolution with an orthonormal set of filters, followed by decimation (discarding the alternate samples). Data compression rates of 2:1, 4:1, 8:1, and so on are obtained at each successive scale. Four records each of normal sinus rhythm (NSR), supraventricular tachycardia (SVT), and ventricular tachycardia (VT) are analyzed. The performance of the MULTIWAVE algorithm is found to be superior to that of the TURNING POINT algorithm at all compression rates for all ECG records.<<ETX>>","PeriodicalId":20445,"journal":{"name":"Proceedings of Computers in Cardiology Conference","volume":"39 1","pages":"393-396"},"PeriodicalIF":0.0000,"publicationDate":"1993-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"MULTIWAVE: a multiresolution wavelet-based ECG data compression algorithm\",\"authors\":\"N. Thakor, Y. Sun, Hervé Rix, P. Caminal\",\"doi\":\"10.1109/CIC.1993.378421\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"MULTIWAVE is a multiresolution wavelet-based algorithm for data compression of ECG signals. ECG signals are decomposed into coarse and fine components. Decomposition is carried out by a pyramidal algorithm that analyzes the signal at successive scales by convolution with an orthonormal set of filters, followed by decimation (discarding the alternate samples). Data compression rates of 2:1, 4:1, 8:1, and so on are obtained at each successive scale. Four records each of normal sinus rhythm (NSR), supraventricular tachycardia (SVT), and ventricular tachycardia (VT) are analyzed. The performance of the MULTIWAVE algorithm is found to be superior to that of the TURNING POINT algorithm at all compression rates for all ECG records.<<ETX>>\",\"PeriodicalId\":20445,\"journal\":{\"name\":\"Proceedings of Computers in Cardiology Conference\",\"volume\":\"39 1\",\"pages\":\"393-396\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-09-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of Computers in Cardiology Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIC.1993.378421\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of Computers in Cardiology Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIC.1993.378421","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
MULTIWAVE: a multiresolution wavelet-based ECG data compression algorithm
MULTIWAVE is a multiresolution wavelet-based algorithm for data compression of ECG signals. ECG signals are decomposed into coarse and fine components. Decomposition is carried out by a pyramidal algorithm that analyzes the signal at successive scales by convolution with an orthonormal set of filters, followed by decimation (discarding the alternate samples). Data compression rates of 2:1, 4:1, 8:1, and so on are obtained at each successive scale. Four records each of normal sinus rhythm (NSR), supraventricular tachycardia (SVT), and ventricular tachycardia (VT) are analyzed. The performance of the MULTIWAVE algorithm is found to be superior to that of the TURNING POINT algorithm at all compression rates for all ECG records.<>
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