Abstract
AbstractIt is challenging to understand the intermuscular coupling from surface-electromyogram (sEMG) signals in the study of human movements. A mutual information (MI) estimation method is proposed based on R-Vine Copula, and applies it to analyze intermuscular coupling during the movement of upper limbs. The probability density function (PDF) of sEMG signal may be a kind of “peak fat tail” distribution. R-Vine Copula is more flexible and effective in depicting the muscle dependent structure (the Vuong test, p < 0.05). There is high coupling strength between the triceps brachii (TB) and posterior deltoid (PD), while the coupling degree between the biceps brachii (BB) and other muscles is relatively low. The intermuscular coupling between the subjects is significantly correlated (p < 0.05). RVCMI provides a new research method and theoretical basis for intermuscular coupling analysis, and has a good application prospect.KeywordssEMGIntermuscular couplingR-Vine copulaMutual Information
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