Notebook Difficulty Level: ★★★★☆
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 can be defined as a complex physiological phenomenon with several causes and dependent of different mechanisms (accordingly to Cifrek et. al. ).
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.
