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dc.contributor.author | Quiles Cucarella, Eduardo | es_ES |
dc.contributor.author | Suay, Ferran | es_ES |
dc.contributor.author | Candela, Gemma | es_ES |
dc.contributor.author | Chio-Cho, Nayibe | es_ES |
dc.contributor.author | Jiménez, Manuel | es_ES |
dc.contributor.author | Alvarez-Kurogi, Leandro | es_ES |
dc.date.accessioned | 2024-03-08T11:18:23Z | |
dc.date.available | 2024-03-08T11:18:23Z | |
dc.date.issued | 2020-02-01 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/202994 | |
dc.description.abstract | [EN] Motor imagery has been suggested as an efficient alternative to improve the rehabilitation process of affected limbs. In this study, a low-cost robotic guide is implemented so that linear position can be controlled via the user¿s motor imagination of movement intention. The patient can use this device to move the arm attached to the guide according to their own intentions. The first objective of this study was to check the feasibility and safety of the designed robotic guide controlled via a motor imagery (MI)-based brain¿computer interface (MI-BCI) in healthy individuals, with the ultimate aim to apply it to rehabilitation patients. The second objective was to determine which are the most convenient MI strategies to control the different assisted rehabilitation arm movements. The results of this study show a better performance when the BCI task is controlled with an action¿action MI strategy versus an action¿relaxation one. No statistically significant difference was found between the two action-action MI strategies. | es_ES |
dc.description.sponsorship | This research has been partially funded by Instituto de Automatica e Informatica Industrial AI2, Universitat Politecnica de Valencia. The APC was funded by Facultat de Educacion, Universidad Internacional de La Rioja. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | MDPI AG | es_ES |
dc.relation.ispartof | International Journal of Environmental research and Public Health (Online) | es_ES |
dc.rights | Reconocimiento (by) | es_ES |
dc.subject | Robotic rehabilitation | es_ES |
dc.subject | Robot-assisted therapy | es_ES |
dc.subject | Brain computer interfaces in neurorehabilitation | es_ES |
dc.subject | EEG sensors | es_ES |
dc.subject.classification | INGENIERIA DE SISTEMAS Y AUTOMATICA | es_ES |
dc.title | Low-Cost Robotic Guide Based on a Motor Imagery Brain-Computer Interface for Arm Assisted Rehabilitation | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.3390/ijerph17030699 | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials | es_ES |
dc.description.bibliographicCitation | Quiles Cucarella, E.; Suay, F.; Candela, G.; Chio-Cho, N.; Jiménez, M.; Alvarez-Kurogi, L. (2020). Low-Cost Robotic Guide Based on a Motor Imagery Brain-Computer Interface for Arm Assisted Rehabilitation. International Journal of Environmental research and Public Health (Online). 17(3). https://doi.org/10.3390/ijerph17030699 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.3390/ijerph17030699 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 17 | es_ES |
dc.description.issue | 3 | es_ES |
dc.identifier.eissn | 1660-4601 | es_ES |
dc.identifier.pmid | 31973155 | es_ES |
dc.identifier.pmcid | PMC7036782 | es_ES |
dc.relation.pasarela | S\401266 | es_ES |
dc.contributor.funder | Universidad Internacional de La Rioja | es_ES |
dc.contributor.funder | Instituto Universitario de Automática e Informática Industrial, Universitat Politècnica de València | es_ES |