Removing The Power Line Interference from Ecg Signal using Adaptive Filters

被引:0
作者
Sushmitha, M. [1 ]
Balaji, T. [1 ]
机构
[1] PVP Siddhartha Inst Technol, Dept ECE, Vijayawada, India
来源
INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY | 2014年 / 14卷 / 11期
关键词
power line interference; ECG signal; Kalman LMS; SNR;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
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.
引用
收藏
页码:76 / 79
页数:4
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