Multi-class EEG signal classification with statistical binary pattern synergic network for schizophrenia severity diagnosis

Multi-class EEG signal classification with statistical binary pattern synergic network for schizophrenia severity diagnosis

Electroencephalography (EEG) is a widely used medical procedure that helps to identify abnormalities in brain wave patterns and measures the electrical activity of the brain. The EEG signal comprises different features that need to be distinguished based on a specified property to exhibit recognizab...

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Bibliographic Details
Main Authors: Dr. P. Esther Rani, B.V.V.S.R.K.K. Pavan
Format: Article
Language:English
Published: AIMS Press 2023-09-01
Series:AIMS Biophysics
Subjects:
electroencephalogram
statistical features
local binary pattern
classification
synergic network
Online Access:https://www.aimspress.com/article/doi/10.3934/biophy.2023021?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/biophy.2023021?viewType=HTML

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