A multi-sensors wearable system for remote assessment of physiotherapy exercises during ACL rehabilitation
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Accepted version
Date
2019-11
Authors
Tedesco, Salvatore
Belcastro, Marco
Manzano Torre, Oscar
Torchia, Pasqualino
Alfieri, Davide
Khokhlova, Liudmila
O'Flynn, Brendan
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published Version
Abstract
In this paper, the challenges associated with the design of a novel multi-sensor wearable system for the objective assessment of exercises during lower-limbs rehabilitation are described. The overall system architecture is defined, and finally both the implemented hardware and software platforms are illustrated in detail. Multiple sensing technologies are adopted including motion data, electromyography measurements, and muscle electro-stimulation. The software stack provides guidance to the users throughout the rehabilitation therapy sessions, and allows clinicians to access the data collected remotely in real-time thus supporting their clinical evaluation. Finally, preliminary results of the comparison between the knee joint angle estimated by the developed system against a gold-standard inertial-based system are provided showing promising results for future validation.
Description
Keywords
Electromyography , Medical signal processing , Muscle , Patient monitoring , Patient rehabilitation , Sensors , Remote assessment , Physiotherapy exercises , ACL rehabilitation , Novel multisensor wearable system , Lower-limb rehabilitation , System architecture , Implemented hardware , Software platforms , Multiple sensing technologies , Motion data , Electromyography measurements , Muscle electro-stimulation , Rehabilitation therapy sessions , Gold-standard inertial-based system , Knee joint angle , ACL , IMU , EMG , Rehabilitation , Wearable
Citation
Tedesco, S., Belcastro, M., Torre, O. M., Torchia, P., Alfieri, D., Khokhlova, L. and O'Flynn, B. (2019) 'A Multi-Sensors Wearable System for Remote Assessment of Physiotherapy Exercises during ACL Rehabilitation', 26th IEEE International Conference on Electronics, Circuits and Systems (ICECS), Genoa, Italy, 27-29 November, pp. 237-240. doi: 10.1109/ICECS46596.2019.8965214
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