Frequency Domain Parameters of Biomedical Electromyography Signals
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Frequency domain parameters of biomedical electromyography (EMG) signals are critically important for signal analysis. In frequency domain analysis, the primary metrics we focus on are Mean Power Frequency (MPF) and Median Frequency (MF). These parameters help characterize the frequency properties of EMG signals, enabling deeper investigation and analysis of biomedical muscular activity. From an implementation perspective, these parameters can be computed using Fourier transform algorithms, where MPF represents the frequency dividing the power spectrum into two equal areas, while MF corresponds to the frequency at which the cumulative power reaches 50% of the total spectrum power. Common computational approaches involve applying FFT (Fast Fourier Transform) to the EMG signal and calculating spectral moments using Python's SciPy library or MATLAB's signal processing toolbox functions like meanfreq and medfreq.
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