Patient-Independent Epileptic Seizure Detection with Reduced EEG Channels and Deep Recurrent Neural Networks

Patient-Independent Epileptic Seizure Detection with Reduced EEG Channels and Deep Recurrent Neural Networks

Epileptic seizures affect around 1% of people worldwide and have an enormous impact on the quality of life as well as the health of each patient. Electroencephalography (EEG) is widely used to diagnose epilepsy and detect seizures. Automatic detection and documentation of epileptic seizures using EE...

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Bibliographic Details
Main Authors: Nadine El-Dajani, Tim Friedrich Lutz Wilhelm, Jan Baumann, Rainer Surges, Bernd T. Meyer
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Information
Subjects:
epileptic seizure detection
deep learning
biomedical data
EEG
signal processing
mobile devices
Online Access:https://www.mdpi.com/2078-2489/16/1/20
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