- -

Fuzzy-description logic for supporting the rehabilitation of the elderly

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

Fuzzy-description logic for supporting the rehabilitation of the elderly

Mostrar el registro sencillo del ítem

Ficheros en el ítem

Thumbnail
Nombre: Moya;Navarro;Jaén ...
Tamaño: 967.7Kb
Formato: PDF
Descripción: Versión del Autor.
Abrir
[Cerrado]
Nombre: exsy.12464.pdf
Tamaño: 2.183Mb
Formato: PDF
Descripción: Versión editorial
Solicitar una copia al autor
dc.contributor.author Moya, Alejandro es_ES
dc.contributor.author Navarro, Elena es_ES
dc.contributor.author Jaén Martínez, Francisco Javier es_ES
dc.contributor.author González, Pascual es_ES
dc.date.accessioned 2021-05-25T03:33:16Z
dc.date.available 2021-05-25T03:33:16Z
dc.date.issued 2020-04 es_ES
dc.identifier.issn 0266-4720 es_ES
dc.identifier.uri http://hdl.handle.net/10251/166759
dc.description.abstract [EN] According to the latest statistics, the proportion of the elderly (+65) is increasing and is expected to double within the European Union in a period of 50 years. This ageing is due to the improvement of quality of life and advances in medicine in the last decades. Gerontechnology is receiving a great deal of attention as a way of providing the elderly with sustainable products, environments, and services combining gerontology and technology. One of the most important aspects to consider by gerontechnology is the mobility/rehabilitation technologies, because there is an important relationship between mobility and the elderly's quality of life. Telerehabilitation systems have emerged to allow the elderly to perform their rehabilitation exercises remotely. However, in many cases, the proposed systems assist neither the patients nor the experts about the progress of the rehabilitation. To address this problem, we propose in this paper, a fuzzy-semantic system for evaluating patient's physical state during the rehabilitation process based on well-known standard for patients' evaluation. Moreover, a tool called FINE has been developed that facilitates the evaluation be accomplished in a semi-automatic way first asking patients to carry out a set of standard tests and then inferencing their state by means of a fuzzy-semantic approach using the data captured during the rehabilitation tasks. es_ES
dc.description.sponsorship This research was funded by the Spanish Ministry of Economy and Competitiveness and by EU FEDER funds under project grants TIN2016-79100-R and TIN2015-72931-EXP. It has also been funded by the Junta de Comunidades de Castilla¿La Mancha scholarship 2018-UCLM1-9131 es_ES
dc.language Inglés es_ES
dc.publisher Blackwell Publishing es_ES
dc.relation.ispartof Expert Systems es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Elderly es_ES
dc.subject Fuzzy-description logic es_ES
dc.subject Gerontechnology es_ES
dc.subject Ontology es_ES
dc.subject Telerehabilitation es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Fuzzy-description logic for supporting the rehabilitation of the elderly es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1111/exsy.12464 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TIN2016-79100-R/ES/ARQUITECTURA Y TECNOLOGIAS POST-WIMP PARA EL DESARROLLO DE ENTORNOS VIRTUALES SOCIALES, MULTI-SENSORIALES Y ADAPTATIVOS EN TELE-REHABILITACION/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TIN2015-72931-EXP/ES/SIMBIOSIS HUMANO-AVATAR EN CIBERTERAPIAS COGNITIVAS: PRUEBA DE CONCEPTO PARA ALUCINACIONES AUDITIVAS/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/JCCM//2018-UCLM1-9131/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Moya, A.; Navarro, E.; Jaén Martínez, FJ.; González, P. (2020). Fuzzy-description logic for supporting the rehabilitation of the elderly. Expert Systems. 37(2):1-16. https://doi.org/10.1111/exsy.12464 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1111/exsy.12464 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 16 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 37 es_ES
dc.description.issue 2 es_ES
dc.relation.pasarela S\427194 es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
dc.contributor.funder Junta de Comunidades de Castilla-La Mancha es_ES
dc.description.references Alamri, A., Cha, J., & El Saddik, A. (2010). AR-REHAB: An Augmented Reality Framework for Poststroke-Patient Rehabilitation. IEEE Transactions on Instrumentation and Measurement, 59(10), 2554-2563. doi:10.1109/tim.2010.2057750 es_ES
dc.description.references Antoniou, G., & van Harmelen, F. (2004). Web Ontology Language: OWL. Handbook on Ontologies, 67-92. doi:10.1007/978-3-540-24750-0_4 es_ES
dc.description.references Bobillo F.(2008).Managing vagueness in ontologies. Universidad de Granada. es_ES
dc.description.references Bobillo F. (2015).The fuzzyDL system. Retrieved July 10 2018 fromhttp://www.umbertostraccia.it/cs/software/fuzzyDL/fuzzyDL.html es_ES
dc.description.references Bobillo, F., Delgado, M., & Gómez-Romero, J. (2012). DeLorean: A reasoner for fuzzy OWL 2. Expert Systems with Applications, 39(1), 258-272. doi:10.1016/j.eswa.2011.07.016 es_ES
dc.description.references Bobillo, F., & Straccia, U. (2016). The fuzzy ontology reasoner fuzzyDL. Knowledge-Based Systems, 95, 12-34. doi:10.1016/j.knosys.2015.11.017 es_ES
dc.description.references Boucenna, S., Narzisi, A., Tilmont, E., Muratori, F., Pioggia, G., Cohen, D., & Chetouani, M. (2014). Interactive Technologies for Autistic Children: A Review. Cognitive Computation, 6(4), 722-740. doi:10.1007/s12559-014-9276-x es_ES
dc.description.references Carter J. E. L.(2002).The Heath‐Carter anthropometric somatotype—Instruction manual. San Diego:State University. es_ES
dc.description.references Chiu, Y.-H., Chen, T.-W., Chen, Y. J., Su, C.-I., Hwang, K.-S., & Ho, W.-H. (2018). Fuzzy logic-based mobile computing system for hand rehabilitation after neurological injury. Technology and Health Care, 26(1), 17-27. doi:10.3233/thc-171403 es_ES
dc.description.references Fernández-Caballero, A., González, P., & Navarro, E. (2017). Gerontechnologies - Current achievements and future trends. Expert Systems, 34(2), e12203. doi:10.1111/exsy.12203 es_ES
dc.description.references Giles, R. (1976). Łukasiewicz logic and fuzzy set theory. International Journal of Man-Machine Studies, 8(3), 313-327. doi:10.1016/s0020-7373(76)80003-x es_ES
dc.description.references Hsieh, Y.-W., Hsueh, I.-P., Chou, Y.-T., Sheu, C.-F., Hsieh, C.-L., & Kwakkel, G. (2007). Development and Validation of a Short Form of the Fugl-Meyer Motor Scale in Patients With Stroke. Stroke, 38(11), 3052-3054. doi:10.1161/strokeaha.107.490730 es_ES
dc.description.references Karime, A., Eid, M., Alja’am, J. M., Saddik, A. E., & Gueaieb, W. (2014). A Fuzzy-Based Adaptive Rehabilitation Framework for Home-Based Wrist Training. IEEE Transactions on Instrumentation and Measurement, 63(1), 135-144. doi:10.1109/tim.2013.2277536 es_ES
dc.description.references Krynicki, K., Jaen, J., & Navarro, E. (2016). An ACO-based personalized learning technique in support of people with acquired brain injury. Applied Soft Computing, 47, 316-331. doi:10.1016/j.asoc.2016.04.039 es_ES
dc.description.references Leap Motion INC. (2018).Leap Motion. Retrieved July 10 2018 fromhttps://www.leapmotion.com/ es_ES
dc.description.references Lukasiewicz, T., & Straccia, U. (2008). Managing uncertainty and vagueness in description logics for the Semantic Web. Journal of Web Semantics, 6(4), 291-308. doi:10.1016/j.websem.2008.04.001 es_ES
dc.description.references Metz, D. . (2000). Mobility of older people and their quality of life. Transport Policy, 7(2), 149-152. doi:10.1016/s0967-070x(00)00004-4 es_ES
dc.description.references Nassabi M. H. Den Akker H. &Vollenbroek‐Hutten M. (2014).An ontology‐based recommender system to promote physical activity for pre‐frail elderly 181–184. es_ES
dc.description.references Navarro, E., González, P., López-Jaquero, V., Montero, F., Molina, J. P., & Romero-Ayuso, D. (2018). Adaptive, Multisensorial, Physiological and Social: The Next Generation of Telerehabilitation Systems. Frontiers in Neuroinformatics, 12. doi:10.3389/fninf.2018.00043 es_ES
dc.description.references OpenNI Pioneering Members. (2018).OpenNI. Retrieved July 10 2018 fromhttp://openni.ru/about/index.html es_ES
dc.description.references Orbbec 3D. (2018).Orbbec Astra Pro. Retrieved July 10 2018 fromhttps://orbbec3d.com/product‐astra‐pro/ es_ES
dc.description.references Rodríguez, A. C., Roda, C., Montero, F., González, P., & Navarro, E. (2015). An Interactive Fuzzy Inference System for Teletherapy of Older People. Cognitive Computation, 8(2), 318-335. doi:10.1007/s12559-015-9356-6 es_ES
dc.description.references Shaughnessy, M., Resnick, B. M., & Macko, R. F. (2006). Testing a Model of Post-Stroke Exercise Behavior. Rehabilitation Nursing, 31(1), 15-21. doi:10.1002/j.2048-7940.2006.tb00005.x es_ES
dc.description.references Su, C.-J., Chiang, C.-Y., & Huang, J.-Y. (2014). Kinect-enabled home-based rehabilitation system using Dynamic Time Warping and fuzzy logic. Applied Soft Computing, 22, 652-666. doi:10.1016/j.asoc.2014.04.020 es_ES
dc.description.references Velozo, C. A., & Woodbury, M. L. (2011). Translating measurement findings into rehabilitation practice: An example using Fugl-Meyer Assessment-Upper Extremity with patients following stroke. The Journal of Rehabilitation Research and Development, 48(10), 1211. doi:10.1682/jrrd.2010.10.0203 es_ES
dc.description.references W3C. (2012).OWL 2 web ontology language. Retrieved July 10 2018 from https://www.w3.org/TR/owl2‐overview/ es_ES
dc.description.references Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3), 338-353. doi:10.1016/s0019-9958(65)90241-x es_ES
dc.description.references Zhang, Z., Fang, Q., & Gu, X. (2014). Fuzzy inference system based automatic Brunnstrom stage classification for upper-extremity rehabilitation. Expert Systems with Applications, 41(4), 1973-1980. doi:10.1016/j.eswa.2013.08.094 es_ES
dc.subject.ods 03.- Garantizar una vida saludable y promover el bienestar para todos y todas en todas las edades es_ES


Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem