Improving brain injury cognitive rehabilitation by personalized telerehabilitation services: Guttmann neuropersonal trainer

Solana Sánchez, Javier; Cáceres Taladriz, César; García Molina, A.; Opisso, Eloy; Roig Rovira, Teresa; Tormos Muñoz, José M. y Gómez Aguilera, Enrique J. (2014). Improving brain injury cognitive rehabilitation by personalized telerehabilitation services: Guttmann neuropersonal trainer. "IEEE Journal of Biomedical and Health Informatics", v. 19 (n. 1); pp. 124-131. ISSN 2168-2194. https://doi.org/10.1109/JBHI.2014.2354537.

Descripción

Título: Improving brain injury cognitive rehabilitation by personalized telerehabilitation services: Guttmann neuropersonal trainer
Autor/es:
  • Solana Sánchez, Javier
  • Cáceres Taladriz, César
  • García Molina, A.
  • Opisso, Eloy
  • Roig Rovira, Teresa
  • Tormos Muñoz, José M.
  • Gómez Aguilera, Enrique J.
Tipo de Documento: Artículo
Título de Revista/Publicación: IEEE Journal of Biomedical and Health Informatics
Fecha: Agosto 2014
Volumen: 19
Materias:
Palabras Clave Informales: Cognitive science, rehabilitation, telemedicine
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Tecnología Fotónica [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Cognitive rehabilitation aims to remediate or alleviate the cognitive deficits appearing after an episode of acquired brain injury (ABI). The purpose of this work is to describe the telerehabilitation platform called Guttmann Neuropersonal Trainer (GNPT) which provides new strategies for cognitive rehabilitation, improving efficiency and access to treatments, and to increase knowledge generation from the process. A cognitive rehabilitation process has been modeled to design and develop the system, which allows neuropsychologists to configure and schedule rehabilitation sessions, consisting of set of personalized computerized cognitive exercises grounded on neuroscience and plasticity principles. It provides remote continuous monitoring of patient's performance, by an asynchronous communication strategy. An automatic knowledge extraction method has been used to implement a decision support system, improving treatment customization. GNPT has been implemented in 27 rehabilitation centers and in 83 patients' homes, facilitating the access to the treatment. In total, 1660 patients have been treated. Usability and cost analysis methodologies have been applied to measure the efficiency in real clinical environments. The usability evaluation reveals a system usability score higher than 70 for all target users. The cost efficiency study results show a relation of 1-20 compared to face-to-face rehabilitation. GNPT enables brain-damaged patients to continue and further extend rehabilitation beyond the hospital, improving the efficiency of the rehabilitation process. It allows customized therapeutic plans, providing information to further development of clinical practice guidelines.

Más información

ID de Registro: 35145
Identificador DC: http://oa.upm.es/35145/
Identificador OAI: oai:oa.upm.es:35145
Identificador DOI: 10.1109/JBHI.2014.2354537
URL Oficial: http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6891104
Depositado por: Memoria Investigacion
Depositado el: 09 May 2015 10:43
Ultima Modificación: 09 May 2015 10:43
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