Abstrakt

Removal of EMG Interference from Electrocardiogram Using Back Propagation

Gurjeet Singh, Ranjit kaur

In this paper a technique called back Propagation Network (BPN) is proposed to cancel electromyogram (EMG) interference in electrocardiogram (ECG). The performance evaluation of the proposed technique is done in terms of signal to noise ratio, mean square error and epochs. The paper presented also illustrates the effect of training algorithm for a given application. Electrocardiogram signals are used to detect heart diseases and also in recent clinical studies. These signals (ECG) are mixed with noise such as baseline drift, electrode motion artifacts, power line interference etc. Previous studies for ECG noise removal are not up on satisfactory marks due to the non stationary nature of the associated noise sources and their spectral overlap with desired ECG signals.