Analysis of EMG signals during dynamic movements: parametric analysis based on the simulation

In electromyogram (EMG) analysis during dynamic movements, parametric analysis seems to be more effective than power-spectrum analysis. The authors have proposed the use of time-varying parameters (called k-parameters) of the autoregressive model, computed by a locally quasi-stationary approach. The k-parameters of a masticatory EMG showed remarkable changes during a tapping movement. The changes were studied by a simulation model based on anatomical and physiological considerations. The simulation showed that only one type of motor unit (MU) was sufficient to synthesize the surface EMG around the onsets of movement. However, the recruitment of the other type of MU was important in heavy contraction.<>