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Robust power line interference suppression for ECG signal based on H∞ filter

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4 Author(s)
Guo-jun Li ; College of Communication Engineering, Chongqing University, Shapingba Chongqing, 400044, China ; Shu-ting. Zhang ; Lan-Xiao Xiao-jie Hao ; Xiao-na Zhou

The power line interference (PLI) reduction for ECG signals is a challenging task for its time-varying amplitude and time-varying frequency within the spectrum range of ECG signals. Most existing Least Squared-based methods such as Extended Kalman filter to estimate PLI from noisy ECG are vulnerable to the QRS pulses, especially for lower noisy-to-signal ratio ECG. This study proposes a robust tracking method based on H∞ filter to suppress the adverse effect of QRS pulses. The union filter of H∞ and Kalman is also demonstrated in this project. Experiments on ECG records from MIT-BIH arrhythmia database indicate that the H∞ filter and Kalman/H∞ mixed filter are more superior than the Extended Kalman filter in removing the PLI from ECG signal.

Published in:

Bioelectronics and Bioinformatics (ISBB), 2011 International Symposium on

Date of Conference:

3-5 Nov. 2011