A Shallow Autoencoder Framework for Epileptic Seizure Detection in EEG Signals

A Shallow Autoencoder Framework for Epileptic Seizure Detection in EEG Signals

This paper presents a trainable hybrid approach involving a shallow autoencoder (AE) and a conventional classifier for epileptic seizure detection. The signal segments of a channel of electroencephalogram (EEG) (EEG epochs) are classified as epileptic and non-epileptic by employing its encoded AE re...

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Bibliographic Details
Main Authors: Gul Hameed Khan, Nadeem Ahmad Khan, Muhammad Awais Bin Altaf, Qammer Abbasi
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Sensors
Subjects:
autoencoder
EEG classification
epilepsy
seizure detection
Online Access:https://www.mdpi.com/1424-8220/23/8/4112

Internet

https://www.mdpi.com/1424-8220/23/8/4112

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