A Combined Virtual Electrode-Based ESA and CNN Method for MI-EEG Signal Feature Extraction and Classification.

Lun, Xiangmin; Zhang, Yifei; Zhu, Mengyang; Lian, Yongheng; Hou, Yimin

Lun, Xiangmin; Zhang, Yifei; Zhu, Mengyang; Lian, Yongheng; Hou, Yimin.

Afiliação

Lun X; School of Automation Engineering, Northeast Electric Power University, Jilin 132012, China.
Zhang Y; School of Automation Engineering, Northeast Electric Power University, Jilin 132012, China.
Zhu M; School of Automation Engineering, Northeast Electric Power University, Jilin 132012, China.
Lian Y; School of Automation Engineering, Northeast Electric Power University, Jilin 132012, China.
Hou Y; School of Automation Engineering, Northeast Electric Power University, Jilin 132012, China.

Sensors (Basel) ; 23(21)2023 Nov 01.

Article em En | MEDLINE | ID: mdl-37960592

Assuntos

Interfaces Cérebro-Computador; Humanos; Eletroencefalografia/métodos; Redes Neurais de Computação; Imagens, Psicoterapia; Eletrodos; Algoritmos

Palavras-chave

EEG source analysis (ESA); braincomputer interface (BCI); convolutional neural network (CNN); electroencephalography (EEG); motor imagery (MI)

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Interfaces Cérebro-Computador Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

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