Evaluation of home-based rehabilitation sensing systems with respect to standardised clinical tests
Vourganas, Ioannis and Stankovic, Vladimir and Stankovic, Lina and Michala, Anna Lito (2019) Evaluation of home-based rehabilitation sensing systems with respect to standardised clinical tests. Sensors, 20 (1). 26. ISSN 1424-8220
Preview |
Text (Vourganas-etal-Sensors-2019-Evaluation-of-home-based-rehabilitation-sensing-systems)
Vourganas_etal_Sensors_2019_Evaluation_of_home_based_rehabilitation_sensing_systems.pdf Final Published Version License: ![]() Download (919kB)| Preview |
Abstract
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, inline 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 (\varrho c > 0.99, R^2 > 0.94, ICC > 0.96) and unbiased correlation to the golden standard.
ORCID iDs
Vourganas, Ioannis


Item type: Article ID code: 70993 Dates: DateEvent19 December 2019Published16 December 2019AcceptedKeywords: 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, Electrical engineering. Electronics Nuclear engineering, Electrical and Electronic Engineering Subjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Pure Administrator Date deposited: 18 Dec 2019 16:21 Last modified: 06 Mar 2021 02:38 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/70993