A Comparison between Reaching Distance and Work Area for Measuring the Impact of Flexion Synergy on Reaching Function in Chronic Moderate to Severe Hemiparetic Stroke

Michael D. Ellis, Sabeen Admani

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

Abstract

Two primary mechatronic protocols have been deployed across several studies for measuring the impact of flexion synergy (loss of independent joint control) on reaching function. The measurement of reaching work area and reaching distance were both conducted as part of a previous clinical trial with the latter being the study's primary outcome. While evidence exists supporting the reliability and validity of reaching work area, it may be time-inefficient and/or too fatiguing to be viable in clinical practice. Reaching distance was therefore employed in the clinical trial as the primary outcome as a shortened method despite established validity. In this retrospective study, pre- and post-intervention data of both metrics from the clinical trial are used to evaluate concurrent validity of the reaching distance metric and to compare its responsiveness to change with that of reaching work area.

Original languageEnglish (US)
Title of host publication2020 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, BioRob 2020
PublisherIEEE Computer Society
Pages853-859
Number of pages7
ISBN (Electronic)9781728159072
DOIs
StatePublished - Nov 2020
Event8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, BioRob 2020 - New York City, United States
Duration: Nov 29 2020Dec 1 2020

Publication series

NameProceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics
Volume2020-November
ISSN (Print)2155-1774

Conference

Conference8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, BioRob 2020
CountryUnited States
CityNew York City
Period11/29/2012/1/20

ASJC Scopus subject areas

  • Artificial Intelligence
  • Biomedical Engineering
  • Mechanical Engineering

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