Design of a Multi-Sensors Wearable Platform for Remote Monitoring of Knee Rehabilitation

Abstract

Smart wearables are a promising tool for the objective and quantifiable monitoring of patients’ capabilities during remote at-home assessments. A novel platform for the remote assessment of patients undergoing knee rehabilitation has been presented in this paper, SKYRE. The challenges associated with the design of the SKYRE platform are described. The platform consists of a multi-sensor wearable garment and an associated ICT architecture, with the aim of capturing real-time objective assessment of physical rehabilitation exercises and support clinicians in their decision-making process as well as provide guidance to the end-users so as to increase their awareness and compliance. The overall system architecture is defined based on users’ requirements and industrial design, and both hardware and software platforms have been thoroughly discussed in detail, including electronic design, textile integration, prototyping process, and firmware development, as well as the mobile application and web portal implementation. Multiple sensing technologies are adopted, including motion capture, electromyography measurements, and muscle electro-stimulation. The developed system, SKYRE, meets the end-users’ requirements, and the validation shows that the system presents results comparable to gold-standard technologies. SKYRE therefore might represent a valid alternative for patients and clinicians willing to perform a remote objective assessment of the rehabilitation process following knee surgery.

Publication DOI: https://doi.org/10.1109/ACCESS.2022.3204969
Divisions: College of Engineering & Physical Sciences > School of Engineering and Technology > Mechanical, Biomedical & Design
College of Engineering & Physical Sciences > School of Engineering and Technology
Additional Information: Copyright © 2022 This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/.
Uncontrolled Keywords: EMG,IMU,knee,mobile application,rehabilitation,remote monitoring,sensors,smart garments,telemedicine,wearable
Publication ISSN: 2169-3536
Last Modified: 23 Dec 2024 08:45
Date Deposited: 08 Feb 2023 13:18
Full Text Link:
Related URLs: https://ieeexpl ... ocument/9881484 (Publisher URL)
PURE Output Type: Article
Published Date: 2022-09-22
Published Online Date: 2022-09-08
Accepted Date: 2022-09-03
Authors: Tedesco, Salvatore
Torre, Oscar Manzano
Belcastro, Marco
Torchia, Pasqualino
Alfieri, Davide
Khokhlova, Liudmila
Komaris, Sokratis (ORCID Profile 0000-0003-4623-9060)
O’Flynn, Brendan

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