Evaluation of home-based rehabilitation sensing systems with respect to standardised clinical tests

Vourganas, I., Stankovic, V., Stankovic, L. and Michala, A. L. (2019) Evaluation of home-based rehabilitation sensing systems with respect to standardised clinical tests. Sensors, 20(1), 26. (doi: 10.3390/s20010026) (PMID:31861514) (PMCID:PMC6982997)

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With increased demand for tele-rehabilitation, many autonomous home-based rehabilitation systems have appeared recently. Many of these systems, however, suffer from lack of patient acceptance and engagement or fail to provide satisfactory accuracy; both are needed for appropriate diagnostics. This paper first provides a detailed discussion of current sensor-based home-based rehabilitation systems with respect to four recently established criteria for wide acceptance and long engagement. A methodological procedure is then proposed for the evaluation of accuracy of portable sensing home-based rehabilitation systems, in line with medically-approved tests and recommendations. For experiments, we deploy an in-house low-cost sensing system meeting the four criteria of acceptance to demonstrate the effectiveness of the proposed evaluation methodology. We observe that the deployed sensor system has limitations in sensing fast movement. Indicators of enhanced motivation and engagement are recorded through the questionnaire responses with more than 83% of the respondents supporting the system’s motivation and engagement enhancement. The evaluation results demonstrate that the deployed system is fit for purpose with statistically significant ( ϱc>0.99 , R2>0.94 , ICC>0.96 ) and unbiased correlation to the golden standard.

Item Type:Articles
Additional Information:This project was partially supported by a joint CAPITA-Faculty of Engineering studentship and the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No 734331.
Keywords:Automated timed up and go test, automated five time sit to stand test, self-evaluation, evaluation of sensor systems, non-intrusive sensing, sensing for health.
Glasgow Author(s) Enlighten ID:Michala, Dr Lito
Creator Roles:
Michala, A. L.Writing – review and editing
Authors: Vourganas, I., Stankovic, V., Stankovic, L., and Michala, A. L.
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > RZ Other systems of medicine
T Technology > TK Electrical engineering. Electronics Nuclear engineering
College/School:College of Science and Engineering > School of Computing Science
Journal Name:Sensors
ISSN (Online):1424-8220
Copyright Holders:Copyright © 2020 The Authors
First Published:First published in Sensors 20(1):26
Publisher Policy:Reproduced under a Creative Commons License
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