{"title":"基于小波变换的心电信号处理研究","authors":"A. Ciupe, N. Roman","doi":"10.1109/ATEE.2015.7133671","DOIUrl":null,"url":null,"abstract":"The aim of this paper is to process a noisy ECG signal obtained from recordings memorized in a database and to obtain the scalograms of some forms of the ECG. From the database we extract the noisy ECG, which is digitally filtered and displayed. For ECG signal processing, we have chosen the Continuous Wavelet Transform in order to determine the scalogram for detecting different pathologies.","PeriodicalId":103513,"journal":{"name":"2015 9th International Symposium on Advanced Topics in Electrical Engineering (ATEE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Study of ECG signal processing using wavelet transforms\",\"authors\":\"A. Ciupe, N. Roman\",\"doi\":\"10.1109/ATEE.2015.7133671\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The aim of this paper is to process a noisy ECG signal obtained from recordings memorized in a database and to obtain the scalograms of some forms of the ECG. From the database we extract the noisy ECG, which is digitally filtered and displayed. For ECG signal processing, we have chosen the Continuous Wavelet Transform in order to determine the scalogram for detecting different pathologies.\",\"PeriodicalId\":103513,\"journal\":{\"name\":\"2015 9th International Symposium on Advanced Topics in Electrical Engineering (ATEE)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-05-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 9th International Symposium on Advanced Topics in Electrical Engineering (ATEE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ATEE.2015.7133671\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 9th International Symposium on Advanced Topics in Electrical Engineering (ATEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ATEE.2015.7133671","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Study of ECG signal processing using wavelet transforms
The aim of this paper is to process a noisy ECG signal obtained from recordings memorized in a database and to obtain the scalograms of some forms of the ECG. From the database we extract the noisy ECG, which is digitally filtered and displayed. For ECG signal processing, we have chosen the Continuous Wavelet Transform in order to determine the scalogram for detecting different pathologies.