SYSTEMATIC REVIEW article
Front. Neurol.
Sec. Neurorehabilitation
Volume 16 - 2025 | doi: 10.3389/fneur.2025.1556111
Psychometric Properties of Technology-Assisted Matching Paradigms in Post-stroke Upper Limb Proprioceptive Assessment: A Scoping Review
Provisionally accepted
- 1Hong Kong Polytechnic University, Kowloon, Hong Kong, SAR China
- 2Dongguan People’s Hospital, Southern Medical University, Dongguan, Guangdong, China
Select one of your emails
You have multiple emails registered with Frontiers:
Notify me on publication
Please enter your email address:
If you already have an account, please login
You don't have a Frontiers account ? You can register here
This scoping review summarizes the use of technology-assisted matching paradigms in the assessments of upper limb proprioception in patients with stroke and the psychometric properties of these assessments. PubMed, Web of Science, EMBASE, and MEDLINE electronic databases were systematically searched from their inception for published articles. A total of 13 articles were included. Upper limb robots for active mirror-matching tasks were the most commonly used technology among our included studies (9 out of 13 studies). Seven studies showed a moderate level of concurrent validity, and four studies showed a moderate level of convergent validity. Seven studies compared stroke patients to healthy individuals, with most showing good responsiveness. Five studies revealed moderate to high test-retest and inter-rater reliability. In conclusion, technology-assisted matching paradigms demonstrate moderate validity and moderate to high reliability when applied in clinical settings for assessing upper limb proprioception in post-stroke patients. Studies involving larger sample sizes which comprehensively investigate the psychometric properties technology-assisted matching paradigms in post-stroke rehabilitation are needed.
Keywords: assessment, Proprioception, Psychometrics, Rehabilitation Engineering, Sensory disorders, Stroke
Received: 06 Jan 2025; Accepted: 16 May 2025.
Copyright: © 2025 Gu, Lin, ZENG and ZHANG. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Jack Jiaqi ZHANG, Hong Kong Polytechnic University, Kowloon, Hong Kong, SAR China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.