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

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URI: https://hdl.handle.net/11556/1474
ISSN: 2195-3562
DOI: 10.1007/978-3-319-46669-9_183
Publication date
2017
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Springer International Publishing
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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.
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Publisher Copyright: © Springer International Publishing AG 2017.
Keywords
Biomedical Engineering , Mechanical Engineering , Artificial Intelligence , SDG 3 - Good Health and Well-being
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book part
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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 . 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