Cancellation of ECG in Electromyogram Using Back Propagation Network

Author

Vijila, C. Kezi Selva ; Kumar, C. Ebbie Selva

Author_Institution

ECE Dept., Karunya Univ., Coimbatore, India

fYear

2009

fDate

27-28 Oct. 2009

Firstpage

630

Lastpage

634

Abstract

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.

Keywords

backpropagation; electrocardiography; electromyography; medical signal processing; ECG; EMG signal; artificial intelligence; back propagation network; convergence time; electrocardiogram interference; electromyogram signal; mean square error; signal to noise ratio; Electrocardiography; Electrodes; Electromyography; Filtering; Interference cancellation; Low pass filters; Muscles; Neck; Needles; Noise reduction; Back Propagation Network; ECG; EMG; interference cancellation;

fLanguage

English

Publisher

ieee

Conference_Titel

Advances in Recent Technologies in Communication and Computing, 2009. ARTCom '09. International Conference on

Conference_Location

Kottayam, Kerala

Print_ISBN

978-1-4244-5104-3

Electronic_ISBN

978-0-7695-3845-7

Type

conf

DOI

10.1109/ARTCom.2009.69

Filename

5329066