Designing of Algorithmfor Calculation of Signal to Noise Ratio for Paralytic Patients Performing Various Activities
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Abstract
Surface electromyography has been used to disease diagnosis, pathologic analysis and muscular disorder. In this paper, we introduce an MATLAB based algorithmfor processing of sEMG signals of paralytic patients. The signal to Noise ratio has been investigated using Hamming window, Hanning window and Rectangular window. In this paper ten paralytic subjects have contributed by performing different finger movement activities. A comparative analysis of signal to noise ratio for finger movement activities has been calculated using hamming, hanning and rectangular window.
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How to Cite
, H. kr. G. R. V. (2016). Designing of Algorithmfor Calculation of Signal to Noise Ratio for Paralytic Patients Performing Various Activities. International Journal on Recent and Innovation Trends in Computing and Communication, 4(4), 280–287. https://doi.org/10.17762/ijritcc.v4i4.2004
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