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Electronics 2019, 8(1), 58; https://doi.org/10.3390/electronics8010058

Implementation and Assessment of an Intelligent Motor Tele-Rehabilitation Platform

1
Intelligent & Interactive Systems Lab (SI2 Lab), Universidad de Las Américas, Quito 170125, Ecuador
2
Department of Electrical Engineering, CTS/UNINOVA, Nova University of Lisbon, 2829-516 Monte de Caparica, Portugal
3
School of Informatics, University of Skövde, 54128 Skövde, Sweden
4
Ecole Normale Supérieure, 94235 Paris-Saclay, France
*
Author to whom correspondence should be addressed.
Received: 18 October 2018 / Revised: 19 December 2018 / Accepted: 24 December 2018 / Published: 4 January 2019
(This article belongs to the Special Issue Sensing and Signal Processing in Smart Healthcare)
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Abstract

Over the past few years, software applications for medical assistance, including tele-rehabilitation, have known an increasing presence in the health arena. Despite the several therapeutic and economic advantages of this new paradigm, it is important to follow certain guidelines, in order to build a safe, useful, scalable, and ergonomic tool. This work proposes to address all these points, through the case study of a physical tele-rehabilitation platform for patients after hip replacement surgery. The scalability and versatility of the system is handled by the implementation of a modular architecture. The safeness and effectiveness of the tool is ensured by an artificial intelligence module that assesses the quality of the movements performed by the user. The usability of the application is evaluated by a cognitive walkthrough method. Results show that the system (i) is able to properly assess the correctness of the human’s motion through two possible methods (Dynamic Time Warping and Hidden Markov Model), and (ii) provides a good user experience. The discussion addresses (i) the advantages and disadvantages of the main approaches for a gesture recognition of therapeutic movements, and (ii) critical aspects to provide the patient with the best usability of a tele-rehabilitation platform. View Full-Text
Keywords: eHealth; software engineering; gesture recognition; Dynamic Time Warping; Hidden Markov Model; usability eHealth; software engineering; gesture recognition; Dynamic Time Warping; Hidden Markov Model; usability
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Rybarczyk, Y.; Luis Pérez Medina, J.; Leconte, L.; Jimenes, K.; González, M.; Esparza, D. Implementation and Assessment of an Intelligent Motor Tele-Rehabilitation Platform. Electronics 2019, 8, 58.

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