An empirical comparison of neural networks and machine learning algorithms for EEG gait decoding.

Nakagome, Sho; Luu, Trieu Phat; He, Yongtian; Ravindran, Akshay Sujatha; Contreras-Vidal, Jose L

Nakagome, Sho; Luu, Trieu Phat; He, Yongtian; Ravindran, Akshay Sujatha; Contreras-Vidal, Jose L.

Afiliação

Nakagome S; Non-Invasive Brain Machine Interface Laboratory, Electrical and Computer Engineering Department, Houston, 77004, USA.
Luu TP; Non-Invasive Brain Machine Interface Laboratory, Electrical and Computer Engineering Department, Houston, 77004, USA.
He Y; Non-Invasive Brain Machine Interface Laboratory, Electrical and Computer Engineering Department, Houston, 77004, USA.
Ravindran AS; Non-Invasive Brain Machine Interface Laboratory, Electrical and Computer Engineering Department, Houston, 77004, USA.
Contreras-Vidal JL; Non-Invasive Brain Machine Interface Laboratory, Electrical and Computer Engineering Department, Houston, 77004, USA. jlcontreras-vidal@uh.edu.

Sci Rep ; 10(1): 4372, 2020 03 09.

Article em En | MEDLINE | ID: mdl-32152333

Assuntos

Algoritmos; Eletroencefalografia; Marcha; Aprendizado de Máquina; Redes Neurais de Computação; Interfaces Cérebro-Computador; Humanos

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Redes Neurais de Computação / Eletroencefalografia / Aprendizado de Máquina / Marcha Limite: Humans Idioma: En Revista: Sci Rep Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos

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