期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2014
卷号：14
期号：11
页码：76-79
出版社：International Journal of Computer Science and Network Security
摘要：Adaptive filters are primary methods to remove the power line interference from the ECG signal. The frequency range of ECG signal is generally 0.05 Hz to 100 Hz, and that of the power line interference is 50 Hz which lies in the ECG signal band. So, it has become very crucial to remove the power line interference from the ECG signal. In this paper Kalman based least mean square (KLMS) filter has been proposed. The Kalman based Least mean square filter essentially minimize the mean square error and remove the 50Hz power line interferences. The experimental results shows that the Kalman based LMS filter is more effective compare to other filter techniques
关键词：power line interference; ECG signal; Kalman LMS ; SNR
