Distortion analysis of EMG signal using LabVIEW as an effective tool Online publication date: Sun, 08-Nov-2015
by Raman Dev; Ajai Kumar Singh
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 19, No. 2, 2015
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.
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