Classification Approach for Attention Assessment via Singular Spectrum Analysis Based on Single-Channel Electroencephalograms.

Wu, Weirong; Ling, Bingo Wing-Kuen; Li, Ruilin; Lin, Zhengjia; Liu, Qing; Shao, Jizhen; Ho, Charlotte Yuk-Fan

Wu, Weirong; Ling, Bingo Wing-Kuen; Li, Ruilin; Lin, Zhengjia; Liu, Qing; Shao, Jizhen; Ho, Charlotte Yuk-Fan.

Afiliação

Wu W; School of Information Engineering, Guangdong University of Technology, Guangzhou 510006, China.
Ling BW; School of Information Engineering, Guangdong University of Technology, Guangzhou 510006, China.
Li R; School of Information Engineering, Guangdong University of Technology, Guangzhou 510006, China.
Lin Z; School of Information Engineering, Guangdong University of Technology, Guangzhou 510006, China.
Liu Q; School of Information Engineering, Guangdong University of Technology, Guangzhou 510006, China.
Shao J; School of Information Engineering, Guangdong University of Technology, Guangzhou 510006, China.
Ho CY; School of Information Engineering, Guangdong University of Technology, Guangzhou 510006, China.

Sensors (Basel) ; 23(2)2023 Jan 09.

Article em En | MEDLINE | ID: mdl-36679558

Assuntos

Eletroencefalografia; Redes Neurais de Computação; Humanos; Análise de Fourier; Eletroencefalografia/métodos; Máquina de Vetores de Suporte; Algoritmo Florestas Aleatórias

Palavras-chave

attention assessment; back-propagation neural network; empirical mode decomposition; random forest; single-channel electroencephalograms; singular spectrum analysis; support vector machine

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Redes Neurais de Computação / Eletroencefalografia Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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