Abstract
Electromyography is one of the method used in medicine for the analysis and recording of skeletal muscle movements in the body. EMG recordings will define the state of the muscle to determine whether the muscle is fatigued. EMG signals are historically troublesome signals to quantify and innovative approaches to analysis are needed for clinical quantification. In this paper, the objective is to analyze the raw EMG signal obtained from the online databank by calculating the median frequencies and investigating frequency domain behavior of myogram signals. To determine these parameters, fast fourier transform and power spectral density are vital factors obtaining at the result. The experimental result indicates that the diagnosis of musculoskeletal disorders can be implemented by using matlab.
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