Design of a multi-sensors wearable platform for remote monitoring of knee rehabilitation

Loading...
Thumbnail Image
Date
2022-09-08
Authors
Tedesco, Salvatore
Manzano Torre, Oscar
Belcastro, Marco
Torchia, Pasqualino
Alfieri, Davide
Khokhlova, Liudmila
Komaris, Sokratis Dimitrios
O'Flynn, Brendan
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Research Projects
Organizational Units
Journal Issue
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 usersâ 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-usersâ 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.
Description
Keywords
Biomedical monitoring , Electromyography , EMG , IMU , Knee , Medical services , Mobile application , Patient rehabilitation , Rehabilitation , Remote monitoring , Sensors , Smart Garments , Smart textiles , Telemedicine , Wearable , Wearable sensors
Citation
Tedesco, S., Manzano Torre, O., Belcastro, M., Torchia, P., Alfieri, D., Khokhlova, L., Komaris, S. D. and O'Flynn, B. (2022) 'Design of a multi-sensors wearable platform for remote monitoring of knee rehabilitation', IEEE Access, 10, pp. 98309-98328. doi: 10.1109/ACCESS.2022.3204969
Link to publisher’s version