B. Hostetler, J. Xue, B. Young, W. Kaiser, M. Findeis, D. Gutterman
{"title":"用时域算法检测TWA事件的短时运行","authors":"B. Hostetler, J. Xue, B. Young, W. Kaiser, M. Findeis, D. Gutterman","doi":"10.1109/CIC.2005.1588142","DOIUrl":null,"url":null,"abstract":"T-wave alternans (TWA) has been associated with ventricular arrhythmias, and some of them are non-stationary, short-episode events (less than 128 beats). A specific time-domain algorithm for isolating T-wave alternans from ECG signals during exercise was developed. The purpose of this study was to test the hypothesis that the time-domain TWA algorithm can accurately quantify exercise TWA patterns, either long or short in duration, and evaluate the TWA measurement difference between time-domain and frequency-domain TWA methods","PeriodicalId":239491,"journal":{"name":"Computers in Cardiology, 2005","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":"{\"title\":\"Detect short run of TWA event with time-domain algorithm\",\"authors\":\"B. Hostetler, J. Xue, B. Young, W. Kaiser, M. Findeis, D. Gutterman\",\"doi\":\"10.1109/CIC.2005.1588142\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"T-wave alternans (TWA) has been associated with ventricular arrhythmias, and some of them are non-stationary, short-episode events (less than 128 beats). A specific time-domain algorithm for isolating T-wave alternans from ECG signals during exercise was developed. The purpose of this study was to test the hypothesis that the time-domain TWA algorithm can accurately quantify exercise TWA patterns, either long or short in duration, and evaluate the TWA measurement difference between time-domain and frequency-domain TWA methods\",\"PeriodicalId\":239491,\"journal\":{\"name\":\"Computers in Cardiology, 2005\",\"volume\":\"55 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computers in Cardiology, 2005\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIC.2005.1588142\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers in Cardiology, 2005","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIC.2005.1588142","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Detect short run of TWA event with time-domain algorithm
T-wave alternans (TWA) has been associated with ventricular arrhythmias, and some of them are non-stationary, short-episode events (less than 128 beats). A specific time-domain algorithm for isolating T-wave alternans from ECG signals during exercise was developed. The purpose of this study was to test the hypothesis that the time-domain TWA algorithm can accurately quantify exercise TWA patterns, either long or short in duration, and evaluate the TWA measurement difference between time-domain and frequency-domain TWA methods