Review of ECG Signal de-noising techniques

被引：0
|
作者：
Aiboud, Youssef [1 ]
El Mhamdi, Jamal [1 ]
Jilbab, Abdelilah [1 ]
Sbaa, Hamza [1 ]
机构：
[1] Mohammed V Univ, ENSET, Elect Engn Res Lab LRGE, Rabat, Morocco
来源：
PROCEEDINGS OF 2015 THIRD IEEE WORLD CONFERENCE ON COMPLEX SYSTEMS (WCCS) | 2015年
关键词：
Spectral analysis; Kalman filter; LMS Filter; Undecimated Wavelet Transform; ECG; ECG denoising; Adaptive filtering;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The aim of this study is to compare different algorithms destined to de-noise an ECG signal, starting with a normal FIR filter to eliminate the noise. Three other filtering methods are used: a Kalman filter and an LMS filter alongside with the undecimated wavelet transform. These three are considered as adaptive filters that essentially minimize the mean-squared error between the noisy ECG and a reference input, which is either noise that is correlated with the noise in the primary input or a signal that is correlated only with ECG in the primary input. To have a better view of the results, two random ECG signals from the Physiobank database are used.
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页数：6
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