When performing a functional task (single leg bridge) until fatigue (non-isometric), can the surface EMG recorded signal be analyse using Entropy to determine the individual muscle resistence to fatigue during the task?
You may check these works;
Reliability difference between spectral and entropic measures of erector spinae muscle fatigability
Article Reliability difference between spectral and entropic measure...
Gender differences in spectral and entropic measures of erector spinae muscle fatigue
https://s3.amazonaws.com/academia.edu.documents/33243439/sung.pdf
Fuzzy Approximate Entropy Analysis of Chaotic and Natural Complex Systems: Detecting Muscle Fatigue Using Electromyography Signals
Article Fuzzy Approximate Entropy Analysis of Chaotic and Natural Co...
Automated Detection of Driver Fatigue Based on Entropy and Complexity Measures
https://ieeexplore.ieee.org/abstract/document/6589164/
Sounds like an interesting possibility. Another possible approach would be to compute or estimate the fractal dimension of the surface EMG signal as a function of time. If one of the effects of fatigue is a decrease in signal variability (in the extreme it would correspond to the emergence of physiological tremor) or, equivalently, dimensionality, then one might expect the surface signal to show a reduction in dimensionality as fatigue developed with an effective loss of degrees of freedom and a reduced signal complexity. I was involved in doing some of this research some time ago in a 'short report' paper published in the journal 'Muscle and Nerve'. There may have been others who have looked at this since then.
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