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Upper Limb Motor Function Quantification in Post-Stroke Rehabilitation Using Muscle Synergy Space Model

Yixuan Sheng, Gansheng Tan, Jinbiao Liu, Hui Chang, Jixian Wang, Qing Xie, Honghai Liu

2022IEEE Transactions on Biomedical Engineering22 citationsDOI

Abstract

The muscle synergy hypothesis assumes that the nervous system controls muscles in groups to simplify behavioral tasks, which makes it possible for modularizing motor function assessment. This paper presents a new assessment method based on muscle synergy space (MSS) model to evaluate motor functions after stroke. It consists of spatiotemporal feature module, muscle activation module and synergy activation module, and focuses on the spatial and temporal characteristics of muscle synergies via synergy vectors and activation coefficients. We further applied this method to reveal spatial and temporal characteristics difference of muscle synergy between healthy controls and stroke patients. The effectiveness and accuracy of MSS model were proved by significant positive correlations between Fugl-Meyer score and the total number of optimal synergies of three modules. This measurement methodology could serve as a quantitative indicator for motor function and provide more scientific rehabilitation guidance.

Topics & Concepts

Physical medicine and rehabilitationRehabilitationMotor functionComputer scienceFunction (biology)Upper limbSpace (punctuation)ElectromyographyNeurophysiologyMotor controlStroke (engine)Artificial intelligenceBiomechanicsFeature (linguistics)Motor planningLower limbSimulationNeuroscienceFeature vectorRehabilitation roboticsMuscle contractionAnimal modelMuscle groupSpatial relationshipMotor systemMotor unit recruitmentMotor activityNervous systemMotor Control and AdaptationMuscle activation and electromyography studiesSustainability and Ecological Systems Analysis
Upper Limb Motor Function Quantification in Post-Stroke Rehabilitation Using Muscle Synergy Space Model | Litcius