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Low-Cost Robotic Guide Based on a Motor Imagery Brain-Computer Interface for Arm Assisted Rehabilitation

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Low-Cost Robotic Guide Based on a Motor Imagery Brain-Computer Interface for Arm Assisted Rehabilitation

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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


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