{"title":"一种基于ICA的动态心电信号自动去噪方法","authors":"Jakub Kuzilek, L. Lhotská, M. Hanuliak","doi":"10.1145/2093698.2093701","DOIUrl":null,"url":null,"abstract":"Our work aims at processing of holter ECG recordings using Independent Component Analysis (ICA). This powerful tool enables us to create a adapting and robust method for detection and estimation of noise in records. Our method is fully automatic and it is easily modifiable for any type of noise. It also preserves enough information for estimation of ECG beat type, which is a desirable feature.","PeriodicalId":91990,"journal":{"name":"... International Symposium on Applied Sciences in Biomedical and Communication Technologies. International Symposium on Applied Sciences in Biomedical and Communication Technologies","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2011-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"An automatic method for holter ECG denoising using ICA\",\"authors\":\"Jakub Kuzilek, L. Lhotská, M. Hanuliak\",\"doi\":\"10.1145/2093698.2093701\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Our work aims at processing of holter ECG recordings using Independent Component Analysis (ICA). This powerful tool enables us to create a adapting and robust method for detection and estimation of noise in records. Our method is fully automatic and it is easily modifiable for any type of noise. It also preserves enough information for estimation of ECG beat type, which is a desirable feature.\",\"PeriodicalId\":91990,\"journal\":{\"name\":\"... International Symposium on Applied Sciences in Biomedical and Communication Technologies. International Symposium on Applied Sciences in Biomedical and Communication Technologies\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-10-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"... International Symposium on Applied Sciences in Biomedical and Communication Technologies. International Symposium on Applied Sciences in Biomedical and Communication Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2093698.2093701\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"... International Symposium on Applied Sciences in Biomedical and Communication Technologies. International Symposium on Applied Sciences in Biomedical and Communication Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2093698.2093701","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An automatic method for holter ECG denoising using ICA
Our work aims at processing of holter ECG recordings using Independent Component Analysis (ICA). This powerful tool enables us to create a adapting and robust method for detection and estimation of noise in records. Our method is fully automatic and it is easily modifiable for any type of noise. It also preserves enough information for estimation of ECG beat type, which is a desirable feature.
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