Robot Training With Vector Fields Based on Stroke Survivors' Individual Movement Statistics.

ABSTRACT: The wide variation in upper extremity motor impairments among stroke survivors necessitates more intelligent methods of customized therapy. However, current strategies for characterizing individual motor impairments are limited by the use of traditional clinical assessments (e.g., Fugl-Meyer) and simple engineering metrics (e.g., goal-directed performance). Our overall approach is to statistically identify the range of volitional movement capabilities, and then apply a robot-applied force vector field intervention that encourages under-expressed movements. We investigated whether explorative training with such customized force fields would improve stroke survivors' (n = 11) movement patterns in comparison to a control group that trained without forces (n = 11). Force and control groups inc

SUBMITTER: Wright ZA 

PROVIDER: S-EPMC5901661 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature