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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Detalles Bibliográficos
Autores principales: Yu, Haitao, Zhu, Lin, Cai, Lihui, Wang, Jiang, Liu, Jing, Wang, Ruofan, Zhang, Zhiyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7396629/
https://www.ncbi.nlm.nih.gov/pubmed/32848530
http://dx.doi.org/10.3389/fnins.2020.00641

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7396629/
https://www.ncbi.nlm.nih.gov/pubmed/32848530
http://dx.doi.org/10.3389/fnins.2020.00641

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