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.

引用

页数：6

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