Comparability of Power Spectral Density Estimation of EMG Signals Using Non-Parametric Methods
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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M.Tech / M.E / PhD Thesis | Electronics & Communication Engineering | India | Volume 4 Issue 9, September 2015 | Popularity: 6.5 / 10


     

Comparability of Power Spectral Density Estimation of EMG Signals Using Non-Parametric Methods

M. Karuna, B. Mahalakshmi


Abstract: The purpose of this paper is to focus on the issue of EMG amplitude and spectral estimation with algorithms based on nonparametric methods. As EMG has many non parametric methods, we had a practical approach to consider a perfect signal with comparison of different models like Welch, Bartlett, Period gram and Blackman turkey method. The basic idea was taken to give a feedback process through which signal is best depending upon the terms of raw signal and smoothing signal.


Keywords: Motor Unit Action Potential MUAP, Power Spectral Density, Non- Parametric Techniques


Edition: Volume 4 Issue 9, September 2015


Pages: 189 - 192



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M. Karuna, B. Mahalakshmi, "Comparability of Power Spectral Density Estimation of EMG Signals Using Non-Parametric Methods", International Journal of Science and Research (IJSR), Volume 4 Issue 9, September 2015, pp. 189-192, https://www.ijsr.net/getabstract.php?paperid=SUB157885, DOI: https://www.doi.org/10.21275/SUB157885

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