An EEG-Based Edge-AI Framework for Alzheimer’s and Creutzfeldt–Jakob Disease Classification

Electroencephalography (EEG) has emerged as a promising non-invasive tool for the diagnosis of neurodegenerative disorders, and artificial intelligence (AI) has shown significant potential in this domain, as demonstrated by recent studies. However, strong inter-subject variability remains a major ch...

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Autors principals:	Muhammad Suffian, Cosimo Ieracitano, Nadia Mammone, Angelo Pascarella, Edoardo Ferlazzo, Francesco Carlo Morabito
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2026-05-01
Col·lecció:	Sensors
Matèries:	Alzheimer’s disease (AD) Creutzfeldt–Jakob disease (CJD) electroencephalography (EEG) brain-computer interface convolutional neural networks transformers
Accés en línia:	https://www.mdpi.com/1424-8220/26/10/3274
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