Due to my research interest was the application of biosignals to rehabilitation and sports, I decided to propose and test the use of a low cost sensor called Myo armband, and amplitude and frequency analysis to detect muscle fatigue in biceps brachii in both arms using standard protocols.

The technique of monitoring surface electromyography (sEMG) signals to measure local fatigue has some advantages: it is noninvasive, it can be performed in a particular muscle, it may be performed in real-time, and it provides information about the events that occur inside the muscle.

It is well known that muscle fatigue can be found by studying the behavior of the RMS value and the median frequency (MDF) of the signal spectrum sEMG. Under fatigue conditions, factors such as recruitment of fast twitch muscle fibers, synchronization of motor units in the muscle, and nonlinear recruitment pattern, cause spectral shift toward low frequency regions and greater magnitude in the signals.

In order to verify the functionality of the Myo Armband sensor for clinical applications, its signal is compared against a sEMG ground-truth sensor (Base) with standard performance. A comparison was carried out in three athletes, who followed a protocol of muscle fatigue for brachial biceps.