Removal of Baseline Wander from Dynamic Electrocardiogram Signals

• Published in: 2009 2nd International Congress on Image and Signal Processing pp. 1 - 4
• Main Authors: Min Dai, Shi-Liu Lian
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.10.2009
• Subjects: Adaptive filters; Clinical diagnosis; Computer vision; Distortion; Electrocardiography; Electrodes; Finite impulse response filter; Frequency; IIR filters; Low-frequency noise
• ISBN: 1424441293; 9781424441297
• DOI: 10.1109/CISP.2009.5304473

The traditional method based on moving average filter can remove the baseline wander in electrocardiogram signals, but also causes the loss of motive ECG signals, which makes distortions of filtered ECG signals. In this paper, a modified moving average filter is proposed to selectively capture the low-frequency baseline wander noise and remove it from the detected signals in order to recover true ECG. The interval sampling data is taken into consideration when calculate the moving average in order to reduce the loss of useful ECG signals and distortions. The algorithm is developed for computer implementation using MATLAB. To validate the proposed methods, the recording from MIT/BIH database is used. Experimental results demonstrate the improvement of the proposed moving average filter over the traditional one in removing baseline wander without introducing distortion to the ECG signals.