@inproceedings{3f213ac6f6444b2ea01fd3bf557ecd2e,
title = "A multi-sensors wearable system for remote assessment of physiotherapy exercises during ACL rehabilitation",
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.",
keywords = "ACL, EMG, IMU, Rehabilitation, Sensors, Wearable",
author = "Salvatore Tedesco and Marco Belcastro and Torre, \{Oscar Manzano\} and Pasqualino Torchia and Davide Alfieri and Liudmila Khokhlova and Brendan O'Flynn",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 26th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2019 ; Conference date: 27-11-2019 Through 29-11-2019",
year = "2019",
month = nov,
doi = "10.1109/ICECS46596.2019.8965214",
language = "English",
series = "2019 26th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "237--240",
booktitle = "2019 26th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2019",
address = "United States",
}