Rehabilitation Technology: Assistance from Hospital to Home
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http://hdl.handle.net/10045/92811
Título: | Rehabilitation Technology: Assistance from Hospital to Home |
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Autor/es: | Martinez-Martin, Ester | Cazorla, Miguel |
Grupo/s de investigación o GITE: | Robótica y Visión Tridimensional (RoViT) |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificial |
Palabras clave: | Rehabilitation technologies | In-person rehabilitation | At-home rehabilitation |
Área/s de conocimiento: | Ciencia de la Computación e Inteligencia Artificial |
Fecha de publicación: | 2-jun-2019 |
Editor: | Hindawi Publishing Corporation |
Cita bibliográfica: | Computational Intelligence and Neuroscience. Volume 2019, Article ID 1431509, 8 pages. doi:10.1155/2019/1431509 |
Resumen: | Rehabilitation is essential for disabled people to achieve the highest level of functional independence, reducing or preventing impairments. Nonetheless, this process can be long and expensive. This fact together with the ageing phenomenon has become a critical issue for both clinicians and patients. In this sense, technological solutions may be beneficial since they reduce the costs and increase the number of patients per caregiver, which makes them more accessible. In addition, they provide access to rehabilitation services for those facing physical, financial, and/or attitudinal barriers. This paper presents the state of the art of the assistive rehabilitation technologies for different recovery methods starting from in-person sessions to complementary at-home activities. |
Patrocinador/es: | This work was supported by the Spanish Government TIN2016-76515-R Grant, supported with FEDER funds. |
URI: | http://hdl.handle.net/10045/92811 |
ISSN: | 1687-5265 (Print) | 1687-5273 (Online) |
DOI: | 10.1155/2019/1431509 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | © 2019 Ester Martinez-Martin and Miguel Cazorla. 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. |
Revisión científica: | si |
Versión del editor: | https://doi.org/10.1155/2019/1431509 |
Aparece en las colecciones: | INV - RoViT - Artículos de Revistas |
Archivos en este ítem:
Archivo | Descripción | Tamaño | Formato | |
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2019_Martinez_Cazorla_ComputIntelligNeurosci.pdf | 5,93 MB | Adobe PDF | Abrir Vista previa | |
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