Identifying transient patterns of in vivo muscle behaviors during isometric contraction by local polynomial regression
We develop a new integrated data analysis approach based on local polynomial regression (LPR) to identify transient patterns of in vivo muscle contraction. The electromyography (EMG), mechanomyography (MMG) and ultrasonography (US) features are represented as nonlinear functions of torque by the LPR method. Transient patterns in the nonlinear featuretorque relationships could be detected from LPR-based derivatives.
isometric contraction local polynomial regression electromyography mechanomyography ultrasonography transient muscle behavior