A robot-assisted sensorimotor training program can improve proprioception and motor function in stroke survivors

Naveen Elangovan, I. Ling Yeh, Jessica Holst-Wolf, Jurgen Konczak

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Scopus citations

Abstract

Proprioceptive deficits are common among stroke survivors and are associated with slower motor recovery, poorer upper limb motor function, and decreased self-care ability. Somatosensory feedback augmenting proprioception should enhance motor control after stroke, but available evidence is inconclusive. This study evaluated the effects of a robot-aided, somatosensory-focused training on proprioceptive acuity and motor performance in individuals with sub-acute and chronic stroke. Twelve stroke survivors completed two training sessions on two consecutive days. During training, participants used a haptic robotic wrist exoskeleton and made continuous, goal-directed wrist ab/adduction movements to a visual target while receiving vibro-tactile feedback. Proprioceptive acuity and active movement errors were assessed before, immediately after, and two days after intervention. Results showed significantly improved proprioceptive acuity at posttest and retention. Motor accuracy measures showed improvements, however these were not statistically significant. This study demonstrates the feasibility of robot-aided somatosensory rehabilitation training in stroke survivors.

Original languageEnglish (US)
Title of host publication2019 IEEE 16th International Conference on Rehabilitation Robotics, ICORR 2019
PublisherIEEE Computer Society
Pages660-664
Number of pages5
ISBN (Electronic)9781728127552
DOIs
StatePublished - Jun 2019
Event16th IEEE International Conference on Rehabilitation Robotics, ICORR 2019 - Toronto, Canada
Duration: Jun 24 2019Jun 28 2019

Publication series

NameIEEE International Conference on Rehabilitation Robotics
Volume2019-June
ISSN (Print)1945-7898
ISSN (Electronic)1945-7901

Conference

Conference16th IEEE International Conference on Rehabilitation Robotics, ICORR 2019
Country/TerritoryCanada
CityToronto
Period6/24/196/28/19

Bibliographical note

Funding Information:
This study is based on work supported by National Institutes of Health Research Evaluation and Commercialization Hub Award (UL1TR000114) to JK.

Publisher Copyright:
© 2019 IEEE.

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