Filter Design for Noisy ECG Signal

There are various observations and measurements made on human body for estimation of the condition of being well or free from disease. The ECG signal is one of them. It is considered to be an important tool. There are numerous factors causing noise in an ECG signal. Denoising of this contaminated signal to obtain a clean ECG waveform is very much required. There may be various sources of noise such as respiration, movement of body, interference caused by the ac signal and electromagnetic interference. In this research work first of all the filtering of the ECG signal, containing a large amount of random noise, is done by the moving average (MA) filter for the reduction of the noise component. Then an adaptive filter based on LMS algorithm is designed for noise removal. The performance comparison of both filters is the prime objective of this work. All simulations have been done in MATLAB software.