{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,8]],"date-time":"2026-02-08T01:07:56Z","timestamp":1770512876599,"version":"3.49.0"},"reference-count":32,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2018,4,26]],"date-time":"2018-04-26T00:00:00Z","timestamp":1524700800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The enhancement of ubiquitous and pervasive computing brings new perspectives in medical rehabilitation. In that sense, the present study proposes a smart, web-based platform to promote the reeducation of patients after hip replacement surgery. This project focuses on two fundamental aspects in the development of a suitable tele-rehabilitation application, which are: (i) being based on an affordable technology, and (ii) providing the patients with a real-time assessment of the correctness of their movements. A probabilistic approach based on the development and training of ten Hidden Markov Models (HMMs) is used to discriminate in real time the main faults in the execution of the therapeutic exercises. Two experiments are designed to evaluate the precision of the algorithm for classifying movements performed in the laboratory and clinical settings, respectively. A comparative analysis of the data shows that the models are as reliable as the physiotherapists to discriminate and identify the motion errors. The results are discussed in terms of the required setup for a successful application in the field and further implementations to improve the accuracy and usability of the system.<\/jats:p>","DOI":"10.3390\/s18051344","type":"journal-article","created":{"date-parts":[[2018,4,27]],"date-time":"2018-04-27T06:52:23Z","timestamp":1524811943000},"page":"1344","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":27,"title":["Smart Web-Based Platform to Support Physical Rehabilitation"],"prefix":"10.3390","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3650-9162","authenticated-orcid":false,"given":"Yves","family":"Rybarczyk","sequence":"first","affiliation":[{"name":"Intelligent &amp; Interactive Lab (SI<sup>2<\/sup> Lab), Universidad de Las Am\u00e9ricas, Quito 170124, Ecuador"},{"name":"Department of Electrical Engineering, CTS\/UNINOVA, Nova University of Lisbon, 2829-516 Monte de Caparica, Portugal"}]},{"given":"Jan","family":"Kleine Deters","sequence":"additional","affiliation":[{"name":"Faculty of Electrical Engineering, University of Twente, 217 7500 Enschede, The Netherlands"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7027-9914","authenticated-orcid":false,"given":"Cl\u00e9ment","family":"Cointe","sequence":"additional","affiliation":[{"name":"Ecole Normale Sup\u00e9rieure de Paris-Saclay, 94235 Cachan, France"}]},{"given":"Danilo","family":"Esparza","sequence":"additional","affiliation":[{"name":"Intelligent &amp; Interactive Lab (SI<sup>2<\/sup> Lab), Universidad de Las Am\u00e9ricas, Quito 170124, Ecuador"}]}],"member":"1968","published-online":{"date-parts":[[2018,4,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"3921","DOI":"10.1109\/TLA.2016.7786381","article-title":"WebLisling: Uma plataforma terap\u00eautica baseada na web para a reabilita\u00e7\u00e3o de doentes af\u00e1sicos","volume":"14","author":"Rybarczyk","year":"2016","journal-title":"IEEE Lat. 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