An Improved Decision Support System for Identification of Abnormal EEG Signals Using a 1D Convolutional Neural Network and Savitzky-Golay Filtering

An Improved Decision Support System for Identification of Abnormal EEG Signals Using a 1D Convolutional Neural Network and Savitzky-Golay Filtering

Medical experts employ electroencephalography (EEG) for analyzing the electrical activity in the brain to infer disorders. However, the time costs of human experts are very high, and the examination of EEGs by such experts, therefore, accounts for a plethora of medical resources. In this study, an i...

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Bibliographic Details
Main Authors: Unmesh Shukla, Geetika Jain Saxena, Manish Kumar, Anil Singh Bafila, Amit Pundir, Sanjeev Singh
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Electroencephalography
machine learning
decision support systems
convolutional neural networks
data preprocessing
Savitzky-Golay filtering
Online Access:https://ieeexplore.ieee.org/document/9638672/

Internet

https://ieeexplore.ieee.org/document/9638672/

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