eFisioTrack: a telerehabilitation environment based on motion recognition using accelerometry

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Title: eFisioTrack: a telerehabilitation environment based on motion recognition using accelerometry
Authors: Ruiz-Fernandez, Daniel | Marin-Alonso, Oscar | Soriano Payá, Antonio | García Pérez, Joaquín David
Research Group/s: Ingeniería Bioinspirada e Informática para la Salud
Center, Department or Service: Universidad de Alicante. Departamento de Tecnología Informática y Computación
Keywords: Telerehabilitation | Ubiquitous monitoring | Motion recognition | Accelerometry | Dynamic time warping | Treatment adherence
Knowledge Area: Arquitectura y Tecnología de Computadores
Issue Date: 12-Jan-2014
Publisher: Hindawi Publishing Corporation
Citation: The Scientific World Journal. 2014, Article ID 495391, 11 pages. doi:10.1155/2014/495391
Abstract: The growing demand for physical rehabilitation processes can result in the rising of costs and waiting lists, becoming a threat to healthcare services’ sustainability. Telerehabilitation solutions can help in this issue by discharging patients from points of care while improving their adherence to treatment. Sensing devices are used to collect data so that the physiotherapists can monitor and evaluate the patients’ activity in the scheduled sessions. This paper presents a software platform that aims to meet the needs of the rehabilitation experts and the patients along a physical rehabilitation plan, allowing its use in outpatient scenarios. It is meant to be low-cost and easy-to-use, improving patients and experts experience. We show the satisfactory results already obtained from its use, in terms of the accuracy evaluating the exercises, and the degree of users’ acceptance. We conclude that this platform is suitable and technically feasible to carry out rehabilitation plans outside the point of care.
Sponsor: This work has been granted by the Ministerio de Economia y Competitividad of the Spanish Government (ref. TIN2009-10855) and cofinanced by FEDER and Plan E funds.
URI: http://hdl.handle.net/10045/34972
ISSN: 1537-744X
DOI: 10.1155/2014/495391
Language: eng
Type: info:eu-repo/semantics/article
Rights: Copyright © 2014 Daniel Ruiz-Fernandez et al. 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.
Peer Review: si
Publisher version: http://dx.doi.org/10.1155/2014/495391
Appears in Collections:INV - IBIS - Artículos de Revistas

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