Cancellation of ECG in Electromyogram Using Back Propagation Network

In this paper, an artificial intelligence technique called Back Propagation Network (BPN) is proposed to cancel the electrocardiogram (ECG) interference in electromyogram (EMG) signal. Conventional filtering techniques are not suitable due to an overlap in spectral content of the EMG and the ECG. Th...

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Bibliographic Details
Main Authors: Vijila, C., Kumar, C.
Format: Conference Proceeding
Language:English
Subjects:
Back Propagation Network
ECG
Electrocardiography
Electrodes
Electromyography
EMG
Filtering
Interference cancellation
Low pass filters
Muscles
Neck
Needles
Noise reduction
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Summary:In this paper, an artificial intelligence technique called Back Propagation Network (BPN) is proposed to cancel the electrocardiogram (ECG) interference in electromyogram (EMG) signal. Conventional filtering techniques are not suitable due to an overlap in spectral content of the EMG and the ECG. The performance evaluation of the proposed technique is done in terms of signal to noise ratio, mean square error, and convergence time. It shows that BPN successfully cancel the interference in EMG signal.
DOI:10.1109/ARTCom.2009.69