Analysis of signal noise reduction by using filters

This paper designs and compares three different filtering methods to reduce the effects of noise in medical health applications such as an electrocardiogram (ECG). The low pass filter excludes the noise at a low-level, moving average filter takes average values of the signal, and Finite Impulse Response (FIR) removes the high frequency components from the ECG and gives the low frequency component which is the desired information signal. Simulation results reveal that FIR filter performs better by reducing the attenuation in the ECG signal than low pass filter and moving average filters and is appropriate for the medical health applications.