Decoding neural activity preceding balance loss during standing with a lower-limb exoskeleton using an interpretable deep learning model.

Sujatha Ravindran, Akshay; Malaya, Christopher A; John, Isaac; Francisco, Gerard E; Layne, Charles; Contreras-Vidal, Jose L

Sujatha Ravindran, Akshay; Malaya, Christopher A; John, Isaac; Francisco, Gerard E; Layne, Charles; Contreras-Vidal, Jose L.

Afiliación

Sujatha Ravindran A; Noninvasive Brain-Machine Interface System Laboratory, Department of Electrical and Computer Engineering, University of Houston, Houston, Texas, 77204, United States of America.
Malaya CA; IUCRC BRAIN, University of Houston, Houston, Texas, 77204, United States of America.
John I; Center for Neuromotor and Biomechanics Research, Department of Health and Human Performance, University of Houston, Houston, Texas, 77204, United States of America.
Francisco GE; IUCRC BRAIN, University of Houston, Houston, Texas, 77204, United States of America.
Layne C; Center for Neuromotor and Biomechanics Research, Department of Health and Human Performance, University of Houston, Houston, Texas, 77204, United States of America.
Contreras-Vidal JL; IUCRC BRAIN, University of Houston, Houston, Texas, 77204, United States of America.

J Neural Eng ; 19(3)2022 05 26.

Article en En | MEDLINE | ID: mdl-35508113

Asunto(s)

Interfaces Cerebro-Computador; Aprendizaje Profundo; Dispositivo Exoesqueleto; Adulto; Electroencefalografía/métodos; Electromiografía; Humanos

Palabras clave

CNN; EEG; deep learning; exoskeleton; fall prevention; interpretability; perturbation evoked potential

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Interfaces Cerebro-Computador / Dispositivo Exoesqueleto / Aprendizaje Profundo Tipo de estudio: Clinical_trials / Prognostic_studies / Screening_studies Límite: Adult / Humans Idioma: En Revista: J Neural Eng Asunto de la revista: NEUROLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

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