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Electronics 2019, 8(1), 58;

Implementation and Assessment of an Intelligent Motor Tele-Rehabilitation Platform

Intelligent & Interactive Systems Lab (SI2 Lab), Universidad de Las Américas, Quito 170125, Ecuador
Department of Electrical Engineering, CTS/UNINOVA, Nova University of Lisbon, 2829-516 Monte de Caparica, Portugal
School of Informatics, University of Skövde, 54128 Skövde, Sweden
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)
Full-Text   |   PDF [5186 KB, uploaded 4 January 2019]   |  


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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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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