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 to t...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/495391 |
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| author | Daniel Ruiz-Fernandez Oscar Marín-Alonso Antonio Soriano-Paya Joaquin D. García-Pérez |
| author_facet | Daniel Ruiz-Fernandez Oscar Marín-Alonso Antonio Soriano-Paya Joaquin D. García-Pérez |
| author_sort | Daniel Ruiz-Fernandez |
| collection | DOAJ |
| 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 | Article |
| id | doaj-art-7168641a9f6b448e9adea5064d624425 |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-7168641a9f6b448e9adea5064d6244252025-02-03T05:46:55ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/495391495391eFisioTrack: A Telerehabilitation Environment Based on Motion Recognition Using AccelerometryDaniel Ruiz-Fernandez0Oscar Marín-Alonso1Antonio Soriano-Paya2Joaquin D. García-Pérez3Department of Computer Technology, University of Alicante, Carretera San Vicente del Raspeig s/n, San Vicente del Raspeig, 03690 Alicante, SpainDepartment of Computer Technology, University of Alicante, Carretera San Vicente del Raspeig s/n, San Vicente del Raspeig, 03690 Alicante, SpainDepartment of Computer Technology, University of Alicante, Carretera San Vicente del Raspeig s/n, San Vicente del Raspeig, 03690 Alicante, SpainBio-inspired Engineering and Health Computing R.G. (IBIS), University of Alicante, Carretera San Vicente del Raspeig s/n, San Vicente del Raspeig, 03690 Alicante, SpainThe 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.http://dx.doi.org/10.1155/2014/495391 |
| spellingShingle | Daniel Ruiz-Fernandez Oscar Marín-Alonso Antonio Soriano-Paya Joaquin D. García-Pérez eFisioTrack: A Telerehabilitation Environment Based on Motion Recognition Using Accelerometry The Scientific World Journal |
| 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 |
| url | http://dx.doi.org/10.1155/2014/495391 |
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