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

^*Corresponding author for this work

University of Tübingen
IMPRS for Cognitive and Systems Neuroscience
Foundation TECNALIA Research & Innovation
Wyss-Center for Bio-and Neuroengeneering

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

7 Citations (Scopus)

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.

Original language	English
Title of host publication	Biosystems and Biorobotics
Publisher	Springer International Publishing
Pages	1127-1131
Number of pages	5
DOIs	https://doi.org/10.1007/978-3-319-46669-9_183
Publication status	Published - 2017

Publication series

Name	Biosystems and Biorobotics
Volume	15
ISSN (Print)	2195-3562
ISSN (Electronic)	2195-3570

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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

Cite this

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. In 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

@inbook{2f463948003a425981fc14bfd6dce61e,

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",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.",

year = "2017",

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

language = "English",

series = "Biosystems and Biorobotics",

publisher = "Springer International Publishing",

pages = "1127--1131",

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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. in 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).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

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

N2 - 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.

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.

UR - https://www.scopus.com/pages/publications/85028313289

U2 - 10.1007/978-3-319-46669-9_183

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

M3 - Chapter

AN - SCOPUS:85028313289

T3 - Biosystems and Biorobotics

SP - 1127

EP - 1131

BT - Biosystems and Biorobotics

PB - Springer International Publishing

ER -

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

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