Identifying Individuals With Mild Cognitive Impairment Using Working Memory-Induced Intra-Subject Variability of Resting-State EEGs.

Trinh, Thanh-Tung; Tsai, Chia-Fen; Hsiao, Yu-Tsung; Lee, Chun-Ying; Wu, Chien-Te; Liu, Yi-Hung

Trinh, Thanh-Tung; Tsai, Chia-Fen; Hsiao, Yu-Tsung; Lee, Chun-Ying; Wu, Chien-Te; Liu, Yi-Hung.

Afiliación

Trinh TT; Neural Engineering and Smart Systems Laboratory, Graduate Institute of Manufacturing Technology, College of Mechanical and Electrical Engineering, National Taipei University of Technology (Taipei Tech), Taipei, Taiwan.
Tsai CF; Department of Psychiatry, Division of Geriatric Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan.
Hsiao YT; Faculty of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Lee CY; Neural Engineering and Smart Systems Laboratory, Graduate Institute of Mechatronic Engineering, National Taipei University of Technology (Taipei Tech), Taipei, Taiwan.
Wu CT; Department of Mechanical Engineering, National Taipei University of Technology (Taipei Tech), Taipei, Taiwan.
Liu YH; International Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo Institutes for Advanced Study (UTIAS), The University of Tokyo, Tokyo, Japan.

Front Comput Neurosci ; 15: 700467, 2021.

Article en En | MEDLINE | ID: mdl-34421565

Palabras clave

Alzheimer's disease; between-run similarity; brain-computer interface; electroencephalography; intra-subject variability; machine learning; mild cognitive impairment

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Screening_studies Idioma: En Revista: Front Comput Neurosci Año: 2021 Tipo del documento: Article País de afiliación: Taiwán Pais de publicación: Suiza

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