{"title":"巴特沃斯低通滤波器阶数和截止频率对心电信号去噪效果的比较研究","authors":"S. Basu, Samiul Mamud","doi":"10.1109/ICCE50343.2020.9290646","DOIUrl":null,"url":null,"abstract":"Removal of noise in ECG signal is an important aspect for the processing and analysis of signal. Since ECG is a low frequency signal, it can easily be corrupted by the external noise and artifacts. The main aim of the filtering is to eliminate the undesired frequency components while preserving the originality of the signal. Butterworth low pass filter is a fundamental type of IIR filter which is used widely in signal processing. The nature of the filtered output signal depends largely on the cut off frequency and order of the filter. This study aims to provide a comparative analysis of the cut off frequency and order of the filter on the ECG signal.","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Comparative Study on the Effect of Order and Cut off Frequency of Butterworth Low Pass Filter for Removal of Noise in ECG Signal\",\"authors\":\"S. Basu, Samiul Mamud\",\"doi\":\"10.1109/ICCE50343.2020.9290646\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Removal of noise in ECG signal is an important aspect for the processing and analysis of signal. Since ECG is a low frequency signal, it can easily be corrupted by the external noise and artifacts. The main aim of the filtering is to eliminate the undesired frequency components while preserving the originality of the signal. Butterworth low pass filter is a fundamental type of IIR filter which is used widely in signal processing. The nature of the filtered output signal depends largely on the cut off frequency and order of the filter. This study aims to provide a comparative analysis of the cut off frequency and order of the filter on the ECG signal.\",\"PeriodicalId\":421963,\"journal\":{\"name\":\"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)\",\"volume\":\"70 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCE50343.2020.9290646\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCE50343.2020.9290646","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comparative Study on the Effect of Order and Cut off Frequency of Butterworth Low Pass Filter for Removal of Noise in ECG Signal
Removal of noise in ECG signal is an important aspect for the processing and analysis of signal. Since ECG is a low frequency signal, it can easily be corrupted by the external noise and artifacts. The main aim of the filtering is to eliminate the undesired frequency components while preserving the originality of the signal. Butterworth low pass filter is a fundamental type of IIR filter which is used widely in signal processing. The nature of the filtered output signal depends largely on the cut off frequency and order of the filter. This study aims to provide a comparative analysis of the cut off frequency and order of the filter on the ECG signal.