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.2024-07-242024-07-242017Sarasola-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_1832195-3562https://hdl.handle.net/11556/1474Publisher Copyright: © Springer International Publishing AG 2017.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.5enginfo:eu-repo/semantics/restrictedAccessbook part10.1007/978-3-319-46669-9_183Biomedical EngineeringMechanical EngineeringArtificial IntelligenceSDG 3 - Good Health and Well-beinghttp://www.scopus.com/inward/record.url?scp=85028313289&partnerID=8YFLogxK