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In contrast to the cardiac muscle, skeletal muscles are very susceptible to fatigue when exposed to an intense activity, for example, during a sports practice.
Fatigue may have serious consequences, being one triggering phenomenon behind muscular injuries.
So, taking into account the relevance of this phenomenon, fatigue study and monitoring is a promising research area, with some decades. During this period, it was demonstrated that some parameters extracted from EMG signal evolve in a particular way as fatigue is being acquired.
One of these parameters, and probably the most consensual one, is the median power frequency , that decreases along fatigue acquisition, i.e. the power spectrum suffers a compression to lowest frequency components .
In this Jupyter Notebook it will be presented the basic methodology to monitoring the fatigue along time.