Improving motor imagery classification during induced motor perturbations.

Vidaurre, C; Jorajuría, T; Ramos-Murguialday, A; Müller, K-R; Gómez, M; Nikulin, V V

Vidaurre, C; Jorajuría, T; Ramos-Murguialday, A; Müller, K-R; Gómez, M; Nikulin, V V.

Afiliación

Vidaurre C; Department of Statistics, Computer Science and Mathematics, Public University of Navarre, Pamplona, Spain.
Jorajuría T; Machine Learning Group, Computer Science Faculty, Berlin Institute of Technology, Berlin, Germany.
Ramos-Murguialday A; Both authors contributed equally.
Müller KR; Department of Statistics, Computer Science and Mathematics, Public University of Navarre, Pamplona, Spain.
Gómez M; Both authors contributed equally.
Nikulin VV; Institute for Medical Psychology and Behavioral Neurobiology (IMP), University of Tübingen, 72076 Tübingen, Germany.

J Neural Eng ; 18(4)2021 07 21.

Article en En | MEDLINE | ID: mdl-34233305

Asunto(s)

Interfaces Cerebro-Computador; Electroencefalografía; Humanos; Imágenes en Psicoterapia; Imaginación; Movimiento; Reproducibilidad de los Resultados

Palabras clave

afferent signals; brain-computer interfacing; feedback contingency; induced movements; motor disturbances; motor imagery; neuro-muscular electrical stimulation

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Electroencefalografía / Interfaces Cerebro-Computador Tipo de estudio: Prognostic_studies Idioma: En Revista: J Neural Eng Año: 2021 Tipo del documento: Article País de afiliación: España

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