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Survey-based identification of design requirements and constraints for a wearable tremor suppression device.

Authors :
Zhou Y
Box D
Hardy KG
Jenkins ME
Garland J
Naish MD
Trejos AL
Source :
Journal of rehabilitation and assistive technologies engineering [J Rehabil Assist Technol Eng] 2022 May 07; Vol. 9, pp. 20556683221094480. Date of Electronic Publication: 2022 May 07 (Print Publication: 2022).
Publication Year :
2022

Abstract

Introduction: Parkinsonian tremor has severely impacted the lives of 65% of individuals with Parkinson's disease, and nearly 25% do not respond to traditional treatments. Although wearable tremor suppression devices (WTSDs) have become a promising alternative approach, this technology is still in the early stages of development, and no studies have reported the stakeholders' opinions on this technology and their desired design requirements.<br />Methods: An online survey was distributed to affected Canadians and Canadian movement disorder specialists (MDS) to acquire information on demographics, the current state of treatments, opinions on the WTSDs, and the desired design requirements of future WTSDs.<br />Results: A total of 101 affected individuals and 24 MDS completed the survey. It was found that both groups are generally open to using WTSDs to manage tremor. The most important design requirement to end users is the adaptability to lifestyle, followed by weight and size, accurate motion, comfort, safety, quick response, and cost. Lastly, most of the participants (65%) think that the device should cost under $500.<br />Conclusions: The findings from this study can be used as guidelines for the development of future WTSDs, such that the future generations could be evaluated and accepted by the end users.<br />Competing Interests: Declaration of conflicting interests: The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.<br /> (© The Author(s) 2022.)

Details

Language :
English
ISSN :
2055-6683
Volume :
9
Database :
MEDLINE
Journal :
Journal of rehabilitation and assistive technologies engineering
Publication Type :
Academic Journal
Accession number :
35548101
Full Text :
https://doi.org/10.1177/20556683221094480