Title: Study of signal processing techniques for EMG analysis

Authors: Manoj Duhan, Chanderpal Sharma, Dinesh Bhatia

Addresses: Department of Electronics and Communication Engineering, Deen Bandhu Chhotu Ram University of Science and Technology, Murthal (Sonepat) Haryana-131039, India. ' Department of Electronics and Communication Engineering, Deen Bandhu Chhotu Ram University of Science and Technology, Murthal (Sonepat) Haryana-131039, India. ' Department of Biomedical Engineering, Deen Bandhu Chhotu Ram University of Science and Technology, Murthal (Sonepat) Haryana-131039, India

Abstract: Digital signal processing (DSP) can be used for biomedical signal processing applications like EMG, EEG and ECG, etc. With the help of biomedical instruments, the signal acquired from the body of human beings require advanced methodology for detection, decomposition, processing and classification of all biomedical signal. The EMG signal is stochastic in nature and it becomes difficult to quantify and interpret the processed signal. The purpose of this paper is to illustrate the various methodologies of DSP for EMG signal processing to provide efficient and effective ways of understanding the signal and its nature.

Keywords: digital signal processing; DSP; electromyograms; EMG analysis; fast Fourier transform; FFT; digital wavelet transform; DWT; biomedical signals; EMG signal processing; EMG signals.

DOI: 10.1504/IJBBR.2011.040032

International Journal of Biomechatronics and Biomedical Robotics, 2011 Vol.1 No.3, pp.141 - 148

Published online: 12 May 2011 *

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