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

[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...

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Detalles Bibliográficos
Autores: Quiles Cucarella, Eduardo|||0000-0003-0578-4716, Suay, Ferran, Candela, Gemma, Chio-Cho, Nayibe, Jiménez, Manuel, Alvarez-Kurogi, Leandro
Tipo de recurso: artículo
Fecha de publicación:2020
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/202994
Acceso en línea:https://riunet.upv.es/handle/10251/202994
Access Level:acceso abierto
Palabra clave:Robotic rehabilitation
Robot-assisted therapy
Brain computer interfaces in neurorehabilitation
EEG sensors
INGENIERIA DE SISTEMAS Y AUTOMATICA
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spelling Low-Cost Robotic Guide Based on a Motor Imagery Brain-Computer Interface for Arm Assisted RehabilitationQuiles Cucarella, Eduardo|||0000-0003-0578-4716Suay, FerranCandela, GemmaChio-Cho, NayibeJiménez, ManuelAlvarez-Kurogi, LeandroRobotic rehabilitationRobot-assisted therapyBrain computer interfaces in neurorehabilitationEEG sensorsINGENIERIA DE SISTEMAS Y AUTOMATICA[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.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.MDPI AGDepartamento de Ingeniería de Sistemas y AutomáticaInstituto Universitario de Automática e Informática IndustrialEscuela Técnica Superior de Ingeniería IndustrialUniversidad Internacional de La RiojaInstituto Universitario de Automática e Informática Industrial, Universitat Politècnica de ValènciaRepositorio Institucional de la Universitat Politècnica de València Riunet20202020-02-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://riunet.upv.es/handle/10251/202994reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento (by)http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/2029942026-06-13T07:49:27Z
dc.title.none.fl_str_mv Low-Cost Robotic Guide Based on a Motor Imagery Brain-Computer Interface for Arm Assisted Rehabilitation
title Low-Cost Robotic Guide Based on a Motor Imagery Brain-Computer Interface for Arm Assisted Rehabilitation
spellingShingle Low-Cost Robotic Guide Based on a Motor Imagery Brain-Computer Interface for Arm Assisted Rehabilitation
Quiles Cucarella, Eduardo|||0000-0003-0578-4716
Robotic rehabilitation
Robot-assisted therapy
Brain computer interfaces in neurorehabilitation
EEG sensors
INGENIERIA DE SISTEMAS Y AUTOMATICA
title_short Low-Cost Robotic Guide Based on a Motor Imagery Brain-Computer Interface for Arm Assisted Rehabilitation
title_full Low-Cost Robotic Guide Based on a Motor Imagery Brain-Computer Interface for Arm Assisted Rehabilitation
title_fullStr Low-Cost Robotic Guide Based on a Motor Imagery Brain-Computer Interface for Arm Assisted Rehabilitation
title_full_unstemmed Low-Cost Robotic Guide Based on a Motor Imagery Brain-Computer Interface for Arm Assisted Rehabilitation
title_sort Low-Cost Robotic Guide Based on a Motor Imagery Brain-Computer Interface for Arm Assisted Rehabilitation
dc.creator.none.fl_str_mv Quiles Cucarella, Eduardo|||0000-0003-0578-4716
Suay, Ferran
Candela, Gemma
Chio-Cho, Nayibe
Jiménez, Manuel
Alvarez-Kurogi, Leandro
author Quiles Cucarella, Eduardo|||0000-0003-0578-4716
author_facet Quiles Cucarella, Eduardo|||0000-0003-0578-4716
Suay, Ferran
Candela, Gemma
Chio-Cho, Nayibe
Jiménez, Manuel
Alvarez-Kurogi, Leandro
author_role author
author2 Suay, Ferran
Candela, Gemma
Chio-Cho, Nayibe
Jiménez, Manuel
Alvarez-Kurogi, Leandro
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Departamento de Ingeniería de Sistemas y Automática
Instituto Universitario de Automática e Informática Industrial
Escuela Técnica Superior de Ingeniería Industrial
Universidad Internacional de La Rioja
Instituto Universitario de Automática e Informática Industrial, Universitat Politècnica de València
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Robotic rehabilitation
Robot-assisted therapy
Brain computer interfaces in neurorehabilitation
EEG sensors
INGENIERIA DE SISTEMAS Y AUTOMATICA
topic Robotic rehabilitation
Robot-assisted therapy
Brain computer interfaces in neurorehabilitation
EEG sensors
INGENIERIA DE SISTEMAS Y AUTOMATICA
description [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.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-02-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/202994
url https://riunet.upv.es/handle/10251/202994
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI AG
publisher.none.fl_str_mv MDPI AG
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.300719

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