期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2017
卷号：6
期号：8
页码：15683
DOI：10.15680/IJIRSET.2017.0608022
出版社：S&S Publications
摘要：Electrocardiogram (ECG) signal is the electrical recording of heart activity. It reflects the activities andthe attributes of the human heart and reveals very important hidden information. The information extracted from thesignal is used to analysis and identifying various pathological conditions, but these ECG signal can be distorted withnoise. Noise can be any interference due to motion artifacts or due to power equipment that are present where ECG hadbeen taken. A typical computer based ECG analysis system includes a signal pre-processing, beats detection andfeature extraction stages, followed by classification. Automatic identification of arrhythmias from the ECG is oneimportant biomedical application of pattern recognition. Moreover ECG signal processing has become a prevalent andeffective tool for research and clinical practices. The motion artifacts are effectively removed from the ECG signalwhich is shown by beat detection on noisy and cleaned ECG signals after LMS and NLMS processing. This paperfocuses on ECG signal processing using Least Mean Square (LMS) Normalized Least Mean Square (NLMS) andNotch Filter which has received increasing attention as a signal conditioning and feature extraction technique forbiomedical application.
关键词：ECG; Signal Pre-processing; Pattern recognition; Noise
