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.
CITATION STYLE
Sarasola-Sanz, A., López-Larraz, E., Irastorza-Landa, N., Klein, J., Valencia, D., Belloso, A., … 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 (Vol. 15, pp. 1127–1131). Springer International Publishing. https://doi.org/10.1007/978-3-319-46669-9_183
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