Identification of Alzheimer's EEG With a WVG Network-Based Fuzzy Learning Approach

Identification of Alzheimer's EEG With a WVG Network-Based Fuzzy Learning Approach

A novel analytical framework combined fuzzy learning and complex network approaches is proposed for the identification of Alzheimer's disease (AD) with multichannel scalp-recorded electroencephalograph (EEG) signals. Weighted visibility graph (WVG) algorithm is first applied to transform each c...

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Bibliographic Details
Main Authors: Haitao Yu, Lin Zhu, Lihui Cai, Jiang Wang, Jing Liu, Ruofan Wang, Zhiyong Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-07-01
Series:Frontiers in Neuroscience
Subjects:
Alzheimer's disease
EEG
TSK fuzzy model
weighted visibility graph
feature select
multiple network
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2020.00641/full

Internet

https://www.frontiersin.org/article/10.3389/fnins.2020.00641/full

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