A Novel Working Memory Task-Induced EEG Response (WM-TIER) Feature Extraction Framework for Detecting Alzheimer’s Disease and Mild Cognitive Impairment

The electroencephalography (EEG)-based approach provides a promising low-cost and non-invasive approach to the early detection of pathological cognitive decline. However, current studies predominantly utilize EEGs from resting state (rsEEG) or task-state (task EEG), posing challenges to classificati...

Descrición completa

Detalles Bibliográficos

Principais autores:	Yi-Hung Liu, Thanh-Tung Trinh, Chia-Fen Tsai, Jie-Kai Yang, Chun-Ying Lee, Chien-Te Wu
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2025-05-01
Series:	Biosensors
Assuntos:	electroencephalography Alzheimer’s disease mild cognitive impairment machine learning working memory task-induced EEG response
Acceso en liña:	https://www.mdpi.com/2079-6374/15/5/289
Tags:	Engadir etiqueta Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!