A changing stroke rehabilitation environment: implications for upper limb interventions

Lucy Jones*, Frederike Van Wijck, Madeleine Grealy, Philip Rowe

*Corresponding author for this work

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

5 Citations (Scopus)

Abstract

Functional recovery of the upper limb is poor and as many as 50% of stroke survivors still have impairments at 6 months post stroke, despite rehabilitation efforts. With the move towards early supported discharge and community-based rehabilitation, novel solutions are needed to deliver the amount of quality therapy that is required for optimum recovery. We propose a rehabilitation aid that provides patients with augmented visual feedback of their motor performance during task orientated upper limb therapy with the aim of facilitating motor relearning and maximising patients functional outcomes.

Original languageEnglish
Title of host publication2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops
PublisherIEEE
Pages374-378
Number of pages5
ISBN (Electronic)9781936968152
ISBN (Print)9781612847672
DOIs
Publication statusPublished - 10 Oct 2011
EventThe 5th International ICST Conference on Pervasive Computing Technologies for Healthcare - Dublin, Ireland
Duration: 23 May 201126 May 2011
https://pervasivehealth.eai-conferences.org/2011/index.shtml.html (Link to conference website)

Publication series

Name2011 5th International Conference on Pervasive Computing Technologies for Healthcare and Workshops, PervasiveHealth 2011

Conference

ConferenceThe 5th International ICST Conference on Pervasive Computing Technologies for Healthcare
Abbreviated titlePervasiveHealth 2011
Country/TerritoryIreland
CityDublin
Period23/05/1126/05/11
Internet address

Keywords

  • based
  • community-stroke
  • motor relearning
  • rehabilitation
  • upper limb
  • visual feedback

ASJC Scopus subject areas

  • Computer Science Applications
  • Health Information Management
  • Health Informatics

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