Evaluation of the harmony exoskeleton as an upper extremity rehabilitation tool after stroke

Evan M. Ogden, David Chiu, Rebecca Clearman, Cynthia Card, Ashish D. Deshpande

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

Abstract

We carried out an exploratory study to evaluate the safety of the Harmony upper body exoskeleton during stroke rehabilitation in a clinical setting. This robot contains a novel arrangement of active degrees of freedom about the shoulder complex that should be evaluated for safe interaction before assessing clinical efficacy. This study was performed with a fifty-eight year old male and began twenty-seven months after ischemic stroke. The subject's shoulder girdle motion, glenohumeral subluxation, and muscle status were monitored over twenty-two sessions. Glenohumeral subluxation was successfully avoided throughout arm motion, and palpated scapular motion was deemed satisfactory. Active range of motion and effort duration measurements showed slight changes between early and late sessions, but no significant improvement in daily function was anticipated. Nevertheless the Harmony exoskeleton was capable of maintaining glenohumeral joint closure and proper coordination of shoulder girdle motion during several multi-joint movements in a chronic stroke subject.

Original languageEnglish (US)
Title of host publication2017 International Symposium on Wearable Robotics and Rehabilitation, WeRob 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-2
Number of pages2
ISBN (Electronic)9781538643778
DOIs
StatePublished - Jun 12 2018
Event2017 International Symposium on Wearable Robotics and Rehabilitation, WeRob 2017 - Houston, United States
Duration: Nov 5 2017Nov 8 2017

Publication series

Name2017 International Symposium on Wearable Robotics and Rehabilitation, WeRob 2017

Other

Other2017 International Symposium on Wearable Robotics and Rehabilitation, WeRob 2017
CountryUnited States
CityHouston
Period11/5/1711/8/17

ASJC Scopus subject areas

  • Rehabilitation
  • Artificial Intelligence
  • Biomedical Engineering
  • Control and Optimization
  • Clinical Neurology

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