Design factors and opportunities of rehabilitation robots in upper-limb training after stroke

Yu-Hsiu Hung, Pin Ju Chen, Wan Zi Lin

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

3 Citations (Scopus)

Abstract

The occurrence of strokes has been progressively increasing. Upper limb recovery after stroke is more difficult than lower limb. One of the rapidly expanding technologies in post-stroke rehabilitation is robot-aided therapy. The advantage of robots is that they are able to deliver highly repetitive therapeutic tasks with minimal supervision of a therapist. However, from the literature, the focus of robotic design in stroke rehabilitation has been technology-driven. Clinical and therapeutic requirements were not seriously considered in the design of rehabilitation robots. The purpose of this study was twofold: (1) demonstrate the missing elements of current robot-aided therapy; (2) identify design factors and opportunities of rehabilitation robots (in upper-limb training after stroke). In this study, we performed a literature review on articles relevant to rehabilitation robots in upper-limb training after stroke. We identified the design foci of current rehabilitation robots for upper limb stroke recovery. Using the therapeutic framework for stroke rehabilitation in occupational therapy, we highlighted design factors and opportunities of rehabilitation robots. The outcomes of this study benefit the robotics design community in the design of rehabilitation robots.

Original languageEnglish
Title of host publication2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages650-654
Number of pages5
ISBN (Electronic)9781509030552
DOIs
Publication statusPublished - 2017 Jul 25
Event14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017 - Jeju, Korea, Republic of
Duration: 2017 Jun 282017 Jul 1

Publication series

Name2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017

Other

Other14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017
CountryKorea, Republic of
CityJeju
Period17-06-2817-07-01

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Biomedical Engineering
  • Artificial Intelligence
  • Human-Computer Interaction
  • Control and Optimization

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