An automated detection of epileptic seizures EEG using CNN classifier based on feature fusion with high accuracy

An automated detection of epileptic seizures EEG using CNN classifier based on feature fusion with high accuracy

Abstract Background Epilepsy is a neurological disorder that is usually detected by electroencephalogram (EEG) signals. Since manual examination of epilepsy seizures is a laborious and time-consuming process, lots of automatic epilepsy detection algorithms have been proposed. However, most of the av...

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Bibliographic Details
Main Authors: Wenna Chen, Yixing Wang, Yuhao Ren, Hongwei Jiang, Ganqin Du, Jincan Zhang, Jinghua Li
Format: Article
Language:English
Published: BMC 2023-05-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Epileptic EEG signal classification
Random forest
Convolutional neural networks
Epilepsy detection
Feature selection
Online Access:https://doi.org/10.1186/s12911-023-02180-w

Internet

https://doi.org/10.1186/s12911-023-02180-w

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