Design and Comparison of Digital IIR Filters for Reduction of artifacts from Electrocardiogram Waveform

Abstract-Electrocardiogram (ECG) signal has been broadly used in cardiac pathology to find heart disease. ECG signal is commonly corrupted by disparate artifacts as baseline wander, power line interference (50/60 Hz) and electromyography noise and these should be eliminated before diagnosis. The function proposed in this paper is removal of low frequency interference i.e. baseline wandering and high frequency noise i.e. electromyography in ECG signal and digital filters are performed to eliminate it. A digital infiniteimpulse response (IIR) filter design in this article. The digital filters accomplished are IIR with different approximation methods as of Butterworth, ChebyshevI, Chebyshev II and Eliptic. The results obtained are at order of 1, 2 and 3. The signals taken from the MITBIH database which contains the normal and abnormal waveforms. The task has been in MATLAB where filters are implemented in FDA Tool. The result received for whole IIR filters with different methods are evaluated the waveforms, power spectrums density, signal to noise ratio (SNR) and means square error (MSE) of the noisy and filtered ECG signals. The filter which shows the excellent outcomes is the Butterworth.