Detection of Epileptic Seizures With Autoencoders Working With Multiple EEG Frames
Author:
Affiliation:
1. “Gheorghe Asachis” Technical University of Iasi,Dept. of Automatic Control and Applied Informatics,Iasi,Romania
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9991246/9991267/09991416.pdf?arnumber=9991416
Reference13 articles.
1. Interpreting deep learning models for epileptic seizure detection on EEG signals
2. The influence of information about the circumstances of EEG recordings on the ability to identify seizure patterns
3. Theoretical and methodological analysis of EEG based seizure detection and prediction: An exhaustive review
4. Using Hand-Crafted and Learned EEG Features for the Detection of Epileptic Seizures
5. Detection of epileptic seizures on EEG signals using ANFIS classifier, autoencoders and fuzzy entropies
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1. Ensemble of Autoencoders for Anomaly Detection in Biomedical Data: A Narrative Review;IEEE Access;2024
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