Low‐Cost Robotic Guide Based on a Motor Imagery Brain-Computer Interface for Arm Assisted Rehabilitation robotic rehabilitation; robot‐assisted therapy; brain computer interfaces in neurorehabilitation; EEG sensors
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Low‐Cost Robotic Guide Based on a Motor Imagery Brain-Computer Interface for Arm Assisted Rehabilitation robotic rehabilitation; robot‐assisted therapy; brain computer interfaces in neurorehabilitation; EEG sensors

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Low‐Cost Robotic Guide Based on a Motor Imagery Brain-Computer Interface for Arm Assisted Rehabilitation robotic rehabilitation; robot‐assisted therapy; brain computer interfaces in neurorehabilitation; EEG sensors

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dc.contributor.author Quiles Cucarella, Eduardo
dc.contributor.author Suay i Lerma, Ferran
dc.contributor.author Candela, Gemma
dc.contributor.author Chio, Nayibe
dc.contributor.author Jiménez López, Manuel
dc.contributor.author Álvarez‐
dc.contributor.author Kurogi, Leandro
dc.date.accessioned 2020-01-28T16:35:10Z
dc.date.available 2020-01-28T16:35:10Z
dc.date.issued 2020
dc.identifier.uri https://hdl.handle.net/10550/72776
dc.description.abstract 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.
dc.language.iso eng
dc.relation.ispartof International Journal Of Environmental Research And Public Health, 2020, vol. 17 (3), num. 699, p. 1-16
dc.rights.uri info:eu-repo/semantics/openAccess
dc.source Quiles Cucarella, Eduardo Suay i Lerma, Ferran Candela, Gemma Chio, Nayibe Jiménez López, Manuel Álvarez&#8208 Kurogi, Leandro 2020 Low‐Cost Robotic Guide Based on a Motor Imagery Brain-Computer Interface for Arm Assisted Rehabilitation robotic rehabilitation; robot‐assisted therapy; brain computer interfaces in neurorehabilitation; EEG sensors International Journal Of Environmental Research And Public Health 17 (3) 699 1 16
dc.subject Rehabilitació
dc.subject Neurologia
dc.title Low‐Cost Robotic Guide Based on a Motor Imagery Brain-Computer Interface for Arm Assisted Rehabilitation robotic rehabilitation; robot‐assisted therapy; brain computer interfaces in neurorehabilitation; EEG sensors
dc.type info:eu-repo/semantics/article
dc.date.updated 2020-01-28T16:35:10Z
dc.identifier.doi https://doi.org/10.3390/ijerph17030699
dc.identifier.idgrec 135811

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