F. Hashim, L. Petropoulakis, J. Soraghan, S. Safie
{"title":"基于小波变换的心电信号运动伪影去除","authors":"F. Hashim, L. Petropoulakis, J. Soraghan, S. Safie","doi":"10.1109/IECBES.2012.6498019","DOIUrl":null,"url":null,"abstract":"Motion artifact noise in ECG processing is difficult to remove since its spectrum is known to overlap the ECG signal spectrum. The combination of wavelet based denoising and high-pass/low-pass filtering is presented and shown to provide good motion artifact noise removal capabilities. The relative performance of the new technique is demonstrated using ECGs from the MIT-BIH ECG database.","PeriodicalId":177199,"journal":{"name":"2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"26","resultStr":"{\"title\":\"Wavelet based motion artifact removal for ECG signals\",\"authors\":\"F. Hashim, L. Petropoulakis, J. Soraghan, S. Safie\",\"doi\":\"10.1109/IECBES.2012.6498019\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Motion artifact noise in ECG processing is difficult to remove since its spectrum is known to overlap the ECG signal spectrum. The combination of wavelet based denoising and high-pass/low-pass filtering is presented and shown to provide good motion artifact noise removal capabilities. The relative performance of the new technique is demonstrated using ECGs from the MIT-BIH ECG database.\",\"PeriodicalId\":177199,\"journal\":{\"name\":\"2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-12-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"26\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IECBES.2012.6498019\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IECBES.2012.6498019","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Wavelet based motion artifact removal for ECG signals
Motion artifact noise in ECG processing is difficult to remove since its spectrum is known to overlap the ECG signal spectrum. The combination of wavelet based denoising and high-pass/low-pass filtering is presented and shown to provide good motion artifact noise removal capabilities. The relative performance of the new technique is demonstrated using ECGs from the MIT-BIH ECG database.