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An efficient ECG baseline removal filter based on frequency response masking technique for wearable applications.

Research paper by Boxiao B Liu, Guoxing G Wang, Yong Y Lian, Boxiao Liu, Guoxing Wang, Yong Lian, Guoxing G Wang, Yong Y Lian, Boxiao B Liu

Indexed on: 24 Feb '17Published on: 24 Feb '17Published in: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference



Abstract

This paper presents a computationally efficient FIR (finite impulse response) filter for ECG (electrocardiogram) baseline wander removal. The proposed filter is based on frequency-response masking (FRM) technique, which reduces the number of multiplications by 90% compared to the conventional FIR filter. The filter specifications are optimized to obtain the highest SNR (signal-to-noise ratio) while minimizing the number of filter coefficients. The SNR performance of the proposed filter is evaluated using ECG signals from MIT-BIH Arrhythmia Database with added baseline noises from MIT-BIH Noise Stress Test Database. Simulations show that the FRM filter is capable of removing most of baseline wander while preserves ECG signal.