An EEG database for the cognitive assessment of motor imagery during walking with a lower-limb exoskeleton

One important point in the development of a brain-machine Interface (BMI) commanding an exoskeleton is the assessment of the cognitive engagement of the subject during the motor imagery tasks conducted. However, there are not many databases that provide electroencephalography (EEG) data during the u...

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Autores principales: Ortiz, Mario, de la Ossa, Luis, Juan, Javier, Iáñez, Eduardo, Torricelli, Diego, Tornero, Jesús, Azorín, José M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10238540/
https://www.ncbi.nlm.nih.gov/pubmed/37268619
http://dx.doi.org/10.1038/s41597-023-02243-7
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author Ortiz, Mario
de la Ossa, Luis
Juan, Javier
Iáñez, Eduardo
Torricelli, Diego
Tornero, Jesús
Azorín, José M.
author_facet Ortiz, Mario
de la Ossa, Luis
Juan, Javier
Iáñez, Eduardo
Torricelli, Diego
Tornero, Jesús
Azorín, José M.
author_sort Ortiz, Mario
collection PubMed
description One important point in the development of a brain-machine Interface (BMI) commanding an exoskeleton is the assessment of the cognitive engagement of the subject during the motor imagery tasks conducted. However, there are not many databases that provide electroencephalography (EEG) data during the use of a lower-limb exoskeleton. The current paper presents a database designed with an experimental protocol aiming to assess not only motor imagery during the control of the device, but also the attention to gait on flat and inclined surfaces. The research was conducted as an EUROBENCH subproject in the facilities sited in Hospital Los Madroños, Brunete (Madrid). The data validation reaches accuracies over 70% in the assessment of motor imagery and attention to gait, which marks the present database as a valuable resource for researches interested on developing and testing new EEG-based BMIs.
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spelling pubmed-102385402023-06-04 An EEG database for the cognitive assessment of motor imagery during walking with a lower-limb exoskeleton Ortiz, Mario de la Ossa, Luis Juan, Javier Iáñez, Eduardo Torricelli, Diego Tornero, Jesús Azorín, José M. Sci Data Data Descriptor One important point in the development of a brain-machine Interface (BMI) commanding an exoskeleton is the assessment of the cognitive engagement of the subject during the motor imagery tasks conducted. However, there are not many databases that provide electroencephalography (EEG) data during the use of a lower-limb exoskeleton. The current paper presents a database designed with an experimental protocol aiming to assess not only motor imagery during the control of the device, but also the attention to gait on flat and inclined surfaces. The research was conducted as an EUROBENCH subproject in the facilities sited in Hospital Los Madroños, Brunete (Madrid). The data validation reaches accuracies over 70% in the assessment of motor imagery and attention to gait, which marks the present database as a valuable resource for researches interested on developing and testing new EEG-based BMIs. Nature Publishing Group UK 2023-06-02 /pmc/articles/PMC10238540/ /pubmed/37268619 http://dx.doi.org/10.1038/s41597-023-02243-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Ortiz, Mario
de la Ossa, Luis
Juan, Javier
Iáñez, Eduardo
Torricelli, Diego
Tornero, Jesús
Azorín, José M.
An EEG database for the cognitive assessment of motor imagery during walking with a lower-limb exoskeleton
title An EEG database for the cognitive assessment of motor imagery during walking with a lower-limb exoskeleton
title_full An EEG database for the cognitive assessment of motor imagery during walking with a lower-limb exoskeleton
title_fullStr An EEG database for the cognitive assessment of motor imagery during walking with a lower-limb exoskeleton
title_full_unstemmed An EEG database for the cognitive assessment of motor imagery during walking with a lower-limb exoskeleton
title_short An EEG database for the cognitive assessment of motor imagery during walking with a lower-limb exoskeleton
title_sort eeg database for the cognitive assessment of motor imagery during walking with a lower-limb exoskeleton
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10238540/
https://www.ncbi.nlm.nih.gov/pubmed/37268619
http://dx.doi.org/10.1038/s41597-023-02243-7
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