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A Home-Based Functional Hand-Extremity Assessment System for Stroke Rehabilitation

  • SUNY Buffalo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

This paper presents a novel hand-grip system for evaluation and rehabilitation of individuals with stroke. This system contains a pair of hand dynamometers, which are sensors for the input of grip force, and LabVIEW VI software to translate the grip force into meaningful data. The hand-grip system requires the subjects to move a small ball on a computer screen toward a target, using the hand grip sensor to control the movement of the ball. It goes far beyond measuring maximum grip strength, a common clinical assessment, to adapt grip force and coordinate hands to perform daily functional activities. This system also provides advancement in home-rehabilitation options to improve the hand-grip control of individuals with stroke.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE 2nd International Conference on Connected Health
Subtitle of host publicationApplications, Systems and Engineering Technologies, CHASE 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages286-287
Number of pages2
ISBN (Electronic)9781509047215
DOIs
StatePublished - Aug 14 2017
Event2nd IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2017 - Philadelphia, United States
Duration: Jul 17 2017Jul 19 2017

Publication series

NameProceedings - 2017 IEEE 2nd International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2017

Conference

Conference2nd IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2017
Country/TerritoryUnited States
CityPhiladelphia
Period07/17/1707/19/17

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