When 90% of the variance is not enough: residual EMG from muscle synergy extraction influences task performance
Victor R. Barradas, Jason J. Kutch, Toshihiro Kawase, Yasuharu Koike, Nicolas Schweighofer
Abstract
The muscle synergy hypothesis posits that the central nervous system simplifies motor control by grouping muscles into modules. Current techniques use dimensionality reduction, such that the identified synergies reconstruct 90% of the muscle activity. We show that residual muscle activity following such identification can have a large systematic effect on movements, even when the number of synergies approaches the number of muscles. Current synergy extraction techniques must therefore be updated to identify true physiological synergies.
Topics & Concepts
Isometric exerciseResidualElectromyographyComputer scienceTask (project management)HeuristicsVariance (accounting)Contrast (vision)Pattern recognition (psychology)Artificial intelligencePhysical medicine and rehabilitationAlgorithmMedicinePhysical therapyEngineeringOperating systemSystems engineeringBusinessAccountingMotor Control and AdaptationMuscle activation and electromyography studiesEEG and Brain-Computer Interfaces