Title: Distortion analysis of EMG signal using LabVIEW as an effective tool

Authors: Raman Dev; Ajai Kumar Singh

Addresses: Electrical Engineering Department, D.C.R. University of Science & Technology, Murthal, Sonepat, Haryana, India ' Electrical Engineering Department, D.C.R. University of Science & Technology, Murthal, Sonepat, Haryana, India

Abstract: EMG signals have various applications in different fields like muscular disorder, ergonomics, prosthesis control, etc. When EMG signal has been acquired from human beings they get distorted. In this research paper, different types of transmission techniques have been used for acquisition of the EMG signal using LabVIEW as an effective tool. It has been observed that total harmonic distortion added by the transmission technique like AM, FM, satellite and wired transmission. The analysis of the distortion added to the EMG signal using different transmission techniques has been studied. Further, a method has been proposed to reduce the total harmonic distortion of the EMG signals. A comparison has been done among different noise reduction techniques like DCT, DST, Wavelet and Fourier transform. It has been observed that DST performs better than techniques to reduce total harmonic distortion up to third level of harmonics.

Keywords: AM; FM; wireless transmission; distortion analysis; EMG signals; signal distortion; electromyography; electromyograms; total harmonic distortion; THD; noise reduction; DST; discrete sine transform.

DOI: 10.1504/IJBET.2015.072936

International Journal of Biomedical Engineering and Technology, 2015 Vol.19 No.2, pp.187 - 204

Received: 16 Dec 2014
Accepted: 13 Apr 2015
Published online: 08 Nov 2015 *

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