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Feedback Design in Targeted Exercise Digital Biofeedback Systems for Home Rehabilitation: A Scoping Review
Date Issued
2020
Date Available
2020-10-20T11:20:08Z
Abstract
Digital biofeedback systems (DBSs) are used in physical rehabilitation to improve outcomes by engaging and educating patients and have the potential to support patients while doing targeted exercises during home rehabilitation. The components of feedback (mode, content, frequency and timing) can influence motor learning and engagement in various ways. The feedback design used in DBSs for targeted exercise home rehabilitation, as well as the evidence underpinning the feedback and how it is evaluated, is not clearly known. To explore these concepts, we conducted a scoping review where an electronic search of PUBMED, PEDro and ACM digital libraries was conducted from January 2000 to July 2019. The main inclusion criteria included DBSs for targeted exercises, in a home rehabilitation setting, which have been tested on a clinical population. Nineteen papers were reviewed, detailing thirteen different DBSs. Feedback was mainly visual, concurrent and descriptive, frequently providing knowledge of results. Three systems provided clear rationale for the use of feedback. Four studies conducted specific evaluations of the feedback, and seven studies evaluated feedback in a less detailed or indirect manner. Future studies should describe in detail the feedback design in DBSs and consider a robust evaluation of the feedback element of the intervention to determine its efficacy.
Sponsorship
European Commission Horizon 2020
Other Sponsorship
Universidad de Sevilla, Spain
Type of Material
Journal Article
Publisher
MDPI
Journal
Sensors
Volume
20
Issue
1
Copyright (Published Version)
2020 the Authors
Language
English
Status of Item
Peer reviewed
ISSN
1424-8220
This item is made available under a Creative Commons License
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Name
20 Brennan- Feedback Design in Targeted Exercise Digital Biofeedback Systems for Home Rehabilitation- A Scoping Review.pdf
Size
902.6 KB
Format
Adobe PDF
Checksum (MD5)
7c5bcbfc33fe53d46d706b3e875f8a83
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