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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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| Publicado no: | Front Neurosci |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7396629/ https://ncbi.nlm.nih.gov/pubmed/32848530 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2020.00641 |
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