{"title":"使用数字滤波器消除心电噪声","authors":"H. Gholamhosseini, H. Nazeran, K. Reynolds","doi":"10.1109/ICBEM.1998.666440","DOIUrl":null,"url":null,"abstract":"A digital filter structure is proposed to maximally remove noise from the ECG signals. This structure is based on cascading a zero-phase bandpass, an adaptive filter, and multi-band-pass filter. It provides an efficient method for removing noise from the ECG signals. This filter structure has low implementation complexity and introduces little noise into a typical ECG. It can be applied to real-time applications particularly automatic cardiac arrhythmia classifiers.","PeriodicalId":213764,"journal":{"name":"Proceedings of the 2nd International Conference on Bioelectromagnetism (Cat. No.98TH8269)","volume":"2018 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"49","resultStr":"{\"title\":\"ECG noise cancellation using digital filters\",\"authors\":\"H. Gholamhosseini, H. Nazeran, K. Reynolds\",\"doi\":\"10.1109/ICBEM.1998.666440\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A digital filter structure is proposed to maximally remove noise from the ECG signals. This structure is based on cascading a zero-phase bandpass, an adaptive filter, and multi-band-pass filter. It provides an efficient method for removing noise from the ECG signals. This filter structure has low implementation complexity and introduces little noise into a typical ECG. It can be applied to real-time applications particularly automatic cardiac arrhythmia classifiers.\",\"PeriodicalId\":213764,\"journal\":{\"name\":\"Proceedings of the 2nd International Conference on Bioelectromagnetism (Cat. No.98TH8269)\",\"volume\":\"2018 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-02-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"49\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2nd International Conference on Bioelectromagnetism (Cat. No.98TH8269)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICBEM.1998.666440\",\"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 the 2nd International Conference on Bioelectromagnetism (Cat. No.98TH8269)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICBEM.1998.666440","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A digital filter structure is proposed to maximally remove noise from the ECG signals. This structure is based on cascading a zero-phase bandpass, an adaptive filter, and multi-band-pass filter. It provides an efficient method for removing noise from the ECG signals. This filter structure has low implementation complexity and introduces little noise into a typical ECG. It can be applied to real-time applications particularly automatic cardiac arrhythmia classifiers.
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