Bi-Dimensional Approach Based on Transfer Learning for Alcoholism Pre-disposition Classification via EEG Signals

Bi-Dimensional Approach Based on Transfer Learning for Alcoholism Pre-disposition Classification via EEG Signals

Recent statistics have shown that the main difficulty in detecting alcoholism is the unreliability of the information presented by patients with alcoholism; this factor confusing the early diagnosis and it can reduce the effectiveness of treatment. However, electroencephalogram (EEG) exams can provi...

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Bibliographic Details
Main Authors: Hongyi Zhang, Francisco H. S. Silva, Elene F. Ohata, Aldisio G. Medeiros, Pedro P. Rebouças Filho
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-09-01
Series:Frontiers in Human Neuroscience
Subjects:
electroencephalogram
alcoholism
convolutional neural network
computer vision
transfer learning
Online Access:https://www.frontiersin.org/article/10.3389/fnhum.2020.00365/full

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https://www.frontiersin.org/article/10.3389/fnhum.2020.00365/full

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