Analysis of mechanomiogram signals with PCA and ICA

MMG is the process of recording vocalic or accelerating activity which occurs by muscle contraction. Studies in the literature on muscle fatigue and muscle electrical activity are general EMG-focused, and there aren't many studies of MMG. There are some studies on EMG-MMG correlation and MMG analysis in the frequency domain, but studies on the analysis and evaluation of MMG in the time domain have been limited. The time domain analysis of MMG data is of great significance, especially considering that muscle fatigue, motion analysis and modeling, and movement classification will increase the success of each new attribute data to be achieved and model performance. In this thesis, it is aimed to investigate the MMG data from the electrical signals generated by the muscle-induced acceleration, using PCA ICA methods, and to define the relation between MMG and muscle fatigue according to the values obtained from this.