A novel framework of MOPSO-GDM in recognition of Alzheimer's EEG-based functional network.

Wang, Ruofan; Wang, Haodong; Shi, Lianshuan; Han, Chunxiao; He, Qiguang; Che, Yanqiu; Luo, Li

Wang, Ruofan; Wang, Haodong; Shi, Lianshuan; Han, Chunxiao; He, Qiguang; Che, Yanqiu; Luo, Li.

Afiliación

Wang R; School of Information Technology Engineering, Tianjin University of Technology and Education, Tianjin, China.
Wang H; School of Information Technology Engineering, Tianjin University of Technology and Education, Tianjin, China.
Shi L; School of Information Technology Engineering, Tianjin University of Technology and Education, Tianjin, China.
Han C; Tianjin Key Laboratory of Information Sensing and Intelligent Control, School of Automation and Electrical Engineering, Tianjin University of Technology and Education, Tianjin, China.
He Q; School of Information Technology Engineering, Tianjin University of Technology and Education, Tianjin, China.
Che Y; Tianjin Key Laboratory of Information Sensing and Intelligent Control, School of Automation and Electrical Engineering, Tianjin University of Technology and Education, Tianjin, China.
Luo L; College of Agronomy, Sichuan Agricultural University, Chengdu, China.

Front Aging Neurosci ; 15: 1160534, 2023.

Article en En | MEDLINE | ID: mdl-37455939

Palabras clave

Alzheimer's disease; EEG; complex network; feature selection; multi-objective optimization

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Guideline Idioma: En Revista: Front Aging Neurosci Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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