Analysing MUAP of EMG Signal with Power Density Spectrum in Matlab

The lack of a proper description of the EMG signal is probably the greatest single factor which has hampered the development of electromyography into a precise discipline. Our proposed methodology described the relationship between the EMG signal and the properties of a contracting muscle by analysing its power density spectrum. We have also discussed the basic concepts on Motor Unit Action potential and analyzed the spectral density of a healthy person EMG signal. The Power spectral Density is calculated with Welchʹs PSD estimate method by taking Hamming & Kaiser Window. This model can be useful for the study of gate analysis and control scheme of the peripheral nervous system.