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eFisioTrack: A Telerehabilitation Environment Based on Motion Recognition Using Accelerometry
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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3913523/ https://www.ncbi.nlm.nih.gov/pubmed/24526898 http://dx.doi.org/10.1155/2014/495391 |
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author | Ruiz-Fernandez, Daniel Marín-Alonso, Oscar Soriano-Paya, Antonio García-Pérez, Joaquin D. |
author_facet | Ruiz-Fernandez, Daniel Marín-Alonso, Oscar Soriano-Paya, Antonio García-Pérez, Joaquin D. |
author_sort | Ruiz-Fernandez, Daniel |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-3913523 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-39135232014-02-13 eFisioTrack: A Telerehabilitation Environment Based on Motion Recognition Using Accelerometry Ruiz-Fernandez, Daniel Marín-Alonso, Oscar Soriano-Paya, Antonio García-Pérez, Joaquin D. ScientificWorldJournal Research Article 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. Hindawi Publishing Corporation 2014-01-12 /pmc/articles/PMC3913523/ /pubmed/24526898 http://dx.doi.org/10.1155/2014/495391 Text en Copyright © 2014 Daniel Ruiz-Fernandez et al. https://creativecommons.org/licenses/by/3.0/ 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. |
spellingShingle | Research Article Ruiz-Fernandez, Daniel Marín-Alonso, Oscar Soriano-Paya, Antonio García-Pérez, Joaquin D. eFisioTrack: A Telerehabilitation Environment Based on Motion Recognition Using Accelerometry |
title | eFisioTrack: A Telerehabilitation Environment Based on Motion Recognition Using Accelerometry |
title_full | eFisioTrack: A Telerehabilitation Environment Based on Motion Recognition Using Accelerometry |
title_fullStr | eFisioTrack: A Telerehabilitation Environment Based on Motion Recognition Using Accelerometry |
title_full_unstemmed | eFisioTrack: A Telerehabilitation Environment Based on Motion Recognition Using Accelerometry |
title_short | eFisioTrack: A Telerehabilitation Environment Based on Motion Recognition Using Accelerometry |
title_sort | efisiotrack: a telerehabilitation environment based on motion recognition using accelerometry |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3913523/ https://www.ncbi.nlm.nih.gov/pubmed/24526898 http://dx.doi.org/10.1155/2014/495391 |
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