A new smart balance rehabilitation system technology platform: Development and preliminary assessment of the Smarter Balance System for home-based balance rehabilitation for individuals with Parkinson's disease

Alberto Fung, Eugene C. Lai, Beom Chan Lee

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

1 Scopus citations

Abstract

Physical and balance rehabilitation programs have been shown to improve postural stability and balance performance and to be more effective than dopaminergic medication and surgical treatments for individuals with Parkinson's disease (PD). This paper describes the development and assessment of a new Smarter Balance System (SBS) intended for home-based use by individuals with PD. We report the initial results of a long-term study currently underway that quantifies the clinical impacts of using the SBS during a 6-week, home-based rehabilitation program. Preliminary results indicate that individuals with PD improved their balance and postural stability, and maintained the improvements for 1 month after completing the 6-week, homebased rehabilitation program with the SBS.

Original languageEnglish (US)
Title of host publication40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1534-1537
Number of pages4
ISBN (Electronic)9781538636466
DOIs
StatePublished - Oct 26 2018
Event40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018 - Honolulu, United States
Duration: Jul 18 2018Jul 21 2018

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Volume2018-July
ISSN (Print)1557-170X

Other

Other40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
CountryUnited States
CityHonolulu
Period7/18/187/21/18

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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