A low-dimensional representation of arm movements and hand grip forces in post-stroke individuals.

ABSTRACT: Characterizing post-stroke impairments in the sensorimotor control of arm and hand is essential to better understand altered mechanisms of movement generation. Herein, we used a decomposition algorithm to characterize impairments in end-effector velocity and hand grip force data collected from an instrumented functional task in 83 healthy control and 27 chronic post-stroke individuals with mild-to-moderate impairments. According to kinematic and kinetic raw data, post-stroke individuals showed reduced functional performance during all task phases. After applying the decomposition algorithm, we observed that the behavioural data from healthy controls relies on a low-dimensional representation and demonstrated that this representation is mostly preserved post-stroke. Further, it emerged that

SUBMITTER: Kanzler CM 

PROVIDER: S-EPMC9085765 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature