Cross-subject classification of depression by using multiparadigm EEG feature fusion.

Yang, Jianli; Zhang, Zhen; Fu, Zhiyu; Li, Bing; Xiong, Peng; Liu, Xiuling

Yang, Jianli; Zhang, Zhen; Fu, Zhiyu; Li, Bing; Xiong, Peng; Liu, Xiuling.

Afiliación

Yang J; College of Electronic Information and Engineering, Hebei University, Baoding 071002, China; Key Laboratory of Digital Medical Engineering of Heibei Province, Baoding 071002, China.
Zhang Z; College of Electronic Information and Engineering, Hebei University, Baoding 071002, China.
Fu Z; College of Electronic Information and Engineering, Hebei University, Baoding 071002, China.
Li B; Hebei Mental Health Center, Baoding 071000, China; Hebei Key Laboratory of Mental and Behavioral Disorders Research, Baoding 071000, China.
Xiong P; College of Electronic Information and Engineering, Hebei University, Baoding 071002, China; Key Laboratory of Digital Medical Engineering of Heibei Province, Baoding 071002, China. Electronic address: xiongde.youxiang@163.com.
Liu X; College of Electronic Information and Engineering, Hebei University, Baoding 071002, China; Key Laboratory of Digital Medical Engineering of Heibei Province, Baoding 071002, China. Electronic address: liuxiuling121@hotmail.com.

Comput Methods Programs Biomed ; 233: 107360, 2023 May.

Article en En | MEDLINE | ID: mdl-36944276

Asunto(s)

Depresión; Electroencefalografía; Depresión/diagnóstico; Electroencefalografía/métodos; Encéfalo; Máquina de Vectores de Soporte; Ojo

Palabras clave

Cross-subject; Depression; EEG; Feature fusion; Multiparadigm

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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Depresión / Electroencefalografía Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Comput Methods Programs Biomed Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article

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