4.6 Article

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

期刊

IEEE ACCESS
卷 10, 期 -, 页码 98309-98328

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2022.3204969

关键词

Biomedical monitoring; Medical services; Electromyography; Knee; Wearable sensors; Sensors; Mobile applications; Patient rehabilitation; Smart textiles; Remote monitoring; Telemedicine; EMG; IMU; knee; mobile application; rehabilitation; remote monitoring; sensors; smart garments; telemedicine; wearable

资金

  1. Enterprise Ireland (EI) through the Project SKYRE [CF-2015-0031-P]
  2. Science Foundation Ireland
  3. European Regional Development Fund [12/RC/2289-P2-INSIGHT, 13/RC/2077-CONNECT, 16/RC/3918-CONFIRM]

向作者/读者索取更多资源

This paper presents a novel platform, SKYRE, for the remote assessment of patients undergoing knee rehabilitation. The platform utilizes multiple sensing technologies to achieve real-time objective assessment and provide guidance. The validation shows that the system presents reliable results, making it a valid alternative for patients and clinicians.
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.

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