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...
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: | |
Online Access: | https://www.frontiersin.org/article/10.3389/fnhum.2020.00365/full |
Similar Items
-
Screening for chronic alcoholic subjects using multiple gamma band EEG: a pilot study
by: Ramaswamy Palaniappan
Published: (2007-04-01) -
Neuropsychophysiological Measures of Alcohol Dependence: Can We Use EEG in the Clinical Assessment?
by: Rosa Jurado-Barba, et al.
Published: (2020-07-01) -
An Intelligent EEG Classification Methodology Based on Sparse Representation Enhanced Deep Learning Networks
by: Jing-Shan Huang, et al.
Published: (2020-09-01) -
Classification of Burst and Suppression in the Neonatal EEG
by: Löfhede, Johan
Published: (2007) -
Changes in frontal lobe electroencephalographic (EEG) activity recorded during the performance of a spatial working memory task in children with Fetal Alcohol Spectrum Disorder (FASD)
by: Hemington, KASEY
Published: (2013)