An EEG-Based Brain-Machine Interface to Control a 7-Degrees of Freedom Exoskeleton for Stroke Rehabilitation

A. Sarasola-Sanz; E. López-Larraz; N. Irastorza-Landa; J. Klein; D. Valencia; A. Belloso; F. O. Morin; M. Spüler; N. Birbaumer; A. Ramos-Murguialday

doi:10.1007/978-3-319-46669-9_183

An EEG-Based Brain-Machine Interface to Control a 7-Degrees of Freedom Exoskeleton for Stroke Rehabilitation

A. Sarasola-Sanz^*, E. López-Larraz, N. Irastorza-Landa, J. Klein, D. Valencia, A. Belloso, F. O. Morin, M. Spüler, N. Birbaumer, A. Ramos-Murguialday

^*Autor correspondiente de este trabajo

Producción científica: Capítulo del libro/informe/acta de congreso › Capítulo › revisión exhaustiva

7 Citas (Scopus)

Resumen

Brain machine interfaces (BMIs) have previously been utilized to control rehabilitation robots with promising results. The design and development of more dexterous and user-friendly rehabilitation platforms is the next challenge to be tackled. We built a novel platform that uses an electro-encephalograpy-based BMI to control a multi-degree of freedom exoskeleton in a rehabilitation framework. Its applicability to a clinical scenario is validated here with six healthy subjects and a chronic stroke patient using motor imagery and movements attempts. Therefore, this study presents a potential system to carry out fully-featured motor rehabilitation therapies.

Idioma original	Inglés
Título de la publicación alojada	Biosystems and Biorobotics
Editorial	Springer International Publishing
Páginas	1127-1131
Número de páginas	5
DOI	https://doi.org/10.1007/978-3-319-46669-9_183
Estado	Publicada - 2017

Serie de la publicación

Nombre	Biosystems and Biorobotics
Volumen	15
ISSN (versión impresa)	2195-3562
ISSN (versión digital)	2195-3570

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

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10.1007/978-3-319-46669-9_183

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Sarasola-Sanz, A., López-Larraz, E., Irastorza-Landa, N., Klein, J., Valencia, D., Belloso, A., Morin, F. O., Spüler, M., Birbaumer, N., & Ramos-Murguialday, A. (2017). An EEG-Based Brain-Machine Interface to Control a 7-Degrees of Freedom Exoskeleton for Stroke Rehabilitation. En Biosystems and Biorobotics (pp. 1127-1131). (Biosystems and Biorobotics; Vol. 15). Springer International Publishing. https://doi.org/10.1007/978-3-319-46669-9_183

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title = "An EEG-Based Brain-Machine Interface to Control a 7-Degrees of Freedom Exoskeleton for Stroke Rehabilitation",

abstract = "Brain machine interfaces (BMIs) have previously been utilized to control rehabilitation robots with promising results. The design and development of more dexterous and user-friendly rehabilitation platforms is the next challenge to be tackled. We built a novel platform that uses an electro-encephalograpy-based BMI to control a multi-degree of freedom exoskeleton in a rehabilitation framework. Its applicability to a clinical scenario is validated here with six healthy subjects and a chronic stroke patient using motor imagery and movements attempts. Therefore, this study presents a potential system to carry out fully-featured motor rehabilitation therapies.",

author = "A. Sarasola-Sanz and E. L{\'o}pez-Larraz and N. Irastorza-Landa and J. Klein and D. Valencia and A. Belloso and Morin, {F. O.} and M. Sp{\"u}ler and N. Birbaumer and A. Ramos-Murguialday",

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year = "2017",

doi = "10.1007/978-3-319-46669-9_183",

language = "English",

series = "Biosystems and Biorobotics",

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Sarasola-Sanz, A, López-Larraz, E, Irastorza-Landa, N, Klein, J, Valencia, D, Belloso, A, Morin, FO, Spüler, M, Birbaumer, N & Ramos-Murguialday, A 2017, An EEG-Based Brain-Machine Interface to Control a 7-Degrees of Freedom Exoskeleton for Stroke Rehabilitation. En Biosystems and Biorobotics. Biosystems and Biorobotics, vol. 15, Springer International Publishing, pp. 1127-1131. https://doi.org/10.1007/978-3-319-46669-9_183

An EEG-Based Brain-Machine Interface to Control a 7-Degrees of Freedom Exoskeleton for Stroke Rehabilitation. / Sarasola-Sanz, A.; López-Larraz, E.; Irastorza-Landa, N. et al.
Biosystems and Biorobotics. Springer International Publishing, 2017. p. 1127-1131 (Biosystems and Biorobotics; Vol. 15).

Producción científica: Capítulo del libro/informe/acta de congreso › Capítulo › revisión exhaustiva

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T1 - An EEG-Based Brain-Machine Interface to Control a 7-Degrees of Freedom Exoskeleton for Stroke Rehabilitation

AU - Sarasola-Sanz, A.

AU - López-Larraz, E.

AU - Irastorza-Landa, N.

AU - Klein, J.

AU - Valencia, D.

AU - Belloso, A.

AU - Morin, F. O.

AU - Spüler, M.

AU - Birbaumer, N.

AU - Ramos-Murguialday, A.

PY - 2017

Y1 - 2017

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AB - Brain machine interfaces (BMIs) have previously been utilized to control rehabilitation robots with promising results. The design and development of more dexterous and user-friendly rehabilitation platforms is the next challenge to be tackled. We built a novel platform that uses an electro-encephalograpy-based BMI to control a multi-degree of freedom exoskeleton in a rehabilitation framework. Its applicability to a clinical scenario is validated here with six healthy subjects and a chronic stroke patient using motor imagery and movements attempts. Therefore, this study presents a potential system to carry out fully-featured motor rehabilitation therapies.

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PB - Springer International Publishing

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An EEG-Based Brain-Machine Interface to Control a 7-Degrees of Freedom Exoskeleton for Stroke Rehabilitation

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