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

Salvatore Tedesco, Oscar Manzano Torre, Marco Belcastro, Pasqualino Torchia, Davide Alfieri, Liudmila Khokhlova, Sokratis Komaris, Brendan O’Flynn

Research output: Contribution to journalArticlepeer-review

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.
Original languageEnglish
Pages (from-to)98309-98328
Number of pages20
JournalIEEE Access
Volume10
Early online date8 Sept 2022
DOIs
Publication statusPublished - 22 Sept 2022

Bibliographical note

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/.

Keywords

  • EMG
  • IMU
  • knee
  • mobile application
  • rehabilitation
  • remote monitoring
  • sensors
  • smart garments
  • telemedicine
  • wearable

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