文章基本信息

标题：Periodic Noise Suppression from ECG Signal using Novel Adaptive Filtering Techniques
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作者：Yogesh Sharma ; Anurag Shrivastava
期刊名称：International Journal of Electronics and Computer Science Engineering
电子版ISSN：2277-1956
出版年度：2012
卷号：1
期号：2
页码：681-685
出版社：Buldanshahr : IJECSE
摘要：Electrocardiogram signal most commonly known recognized and used biomedical signal for medical examination of heart. The ECG signal is very sensitive in nature, and even if small noise mixed with original signal, the various characteristics of the signal changes, Data corrupted with noise must either filtered or discarded, filtering is important issue for design consideration of real time heart monitoring systems. Various filters used for removing the noise from ECG signals, most commonly used filters are Notch Filters, FIR filters, IIR filters, Wiener filter, Adaptive filters etc. Performance analysis shows that the best result is obtained by using Adaptive filter to remove various noises from ECG signal and get significant SNR and MSE results. In this paper a novel adaptive approach by using LMS algorithm and delay has shown which can be used for pre-processing of ECG signal and give appreciable result
关键词：Adaptive filtering; ECG; LMS Algorithm; Adaptive Noise Canceller (ANC).