Abstract
This work presents a tool for acquisition and analysis of myoelectric signals through the surface electromyography (EMGS) for the study of muscle behavior of the human body. The signal from the muscles is captured by surface electrodes arranged in bipolar configuration. It is amplified, filtered, sampled and subjected to digital processing for evaluation of relationship EMG vs Strength and EMG vs Fatigue. This relationship is very important at diagnostic pathologies and development of prostheses. The analysis is performed by comparing EMG signal, muscle contraction time, position and angular velocity joints. To analyze the signals in the time domain the EMG signal is rectified and it sintensity is calculated from the RMS (Root Mean Square) value. The FFT (Fast Fourier Transform) is used to identify the median frequency of the signals.
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