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Machine Learning on Visibility Graph Features Discriminates the Cognitive Event-Related Potentials of Patients with Early Alzheimer’s Disease from Healthy Aging

We present a framework for electroencephalography (EEG)-based classification between patients with Alzheimer’s Disease (AD) and robust normal elderly (RNE) via a graph theory approach using visibility graphs (VGs). This EEG VG approach is motivated by research that has demonstrated differences betwe...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Jesse Zhang, Jiangyi Xia, Xin Liu, John Olichney
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2023-05-01
Schriftenreihe:Brain Sciences
Schlagworte:
machine learning
Alzheimer’s Disease
EEG
visibility graph
event-related potential
mild cognitive impairment
Online-Zugang:https://www.mdpi.com/2076-3425/13/5/770
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