Surface Electromyography (sEMG) activity of the forearm muscle was recorded from five subjects performing
isometric contraction until fatigue. The signals were recorded into three stages (Non- Fatigued, Fatigued and fully
Fatigued)through which different features were extracted for analysis purposes. Subject’s specific Surface Electromyography
(sEMG) activity of forearm muscle was recorded after the exercise which take place for four weeks.
Amplitude parameters were extracted for each of thethree classes to quantify the potential performance of each feature, that
could aid in differentiating the classes(Non-Fatigued, Fatigued and Fully Fatigued) of muscle fatigue within the sEMG
signal.We use thegraphical and tabular approach to show the parameters that best distinguish and quantify class separability.
The purpose of the work presented is to show the change in various parameters which are extracted from recorded sEMG signal
to detect the presence of fatigue in the forearm muscle
