SWARM ALGORITHM BASED ADAPTIVE FILTER DESIGN TO REMOVE POWER LINE INTERFERENCE FROM ECG SIGNAL

Vikram B. Galphade, P. C. Bhaskar

Abstract: ECG signal is having wide importance in the biomedical field, but for proper diagnosis of ECG always a noise free ECG signal is needed. Many researchers have already developed filters for getting appropriate desirable ECG signal and till today many researchers are still developing different filters using different algorithms in order to get clearer ECG signal for proper diagnosis. Noises and Interferences get added in the ECG by different ways, at the time of ECG Acquisition or at the time of ECG signal recording. In this paper newly adapted algorithm is used for the filtering of ECG signal that is a Swarm algorithm which is used for the Error signal optimization from the original corrupted ECG signal. This algorithm is implemented with Adaptive filter to removes Power Line Interference noise having Frequency component of 50 Hz. The ECG signal considered may be retrieved from ECG acquisition system or from MIT-BIH database.

Keywords: Adaptive Filter, SWARM Algorithm, MIT-BIH Database, Matlab, ECG Signal and Power line Noise Signal etc.

DOI: https://doi.org/10.15623/ijret.2015.0403022