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Implementation and assessment of an intelligent motor tele-rehabilitation platform
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. Intelligent & Interactive Systems Lab (SI2 Lab), Universidad de Las Américas, Quito, Ecuador / Department of Electrical Engineering, CTS/UNINOVA, Nova University of Lisbon, Monte de Caparica, Portugal. (Interaction Lab)
Intelligent & Interactive Systems Lab (SI2 Lab), Universidad de Las Américas, Quito, Ecuador.
Ecole Normale Supérieure, Paris-Saclay, France.
Intelligent & Interactive Systems Lab (SI2 Lab), Universidad de Las Américas, Quito, Ecuador.
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2019 (English)In: Electronics (Switzerland), ISSN 2079-9292, Vol. 8, no 1, article id 58Article in journal (Refereed) Published
Abstract [en]

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. 

Place, publisher, year, edition, pages
MDPI, 2019. Vol. 8, no 1, article id 58
Keywords [en]
Dynamic time warping, EHealth, Gesture recognition, Hidden Markov model, Software engineering, Usability
National Category
Computer Systems
Research subject
Interaction Lab (ILAB)
Identifiers
URN: urn:nbn:se:his:diva-16597DOI: 10.3390/electronics8010058ISI: 000457142800058Scopus ID: 2-s2.0-85060234219OAI: oai:DiVA.org:his-16597DiVA, id: diva2:1285501
Available from: 2019-02-04 Created: 2019-02-04 Last updated: 2019-06-11Bibliographically approved

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