An explainable hybrid DNN model for seizure vs. Non-seizure classification and seizure localization using multi-dimensional EEG signals-Reference-Cited by-同舟云学术

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An explainable hybrid DNN model for seizure vs. Non-seizure classification and seizure localization using multi-dimensional EEG signals

Published:2024-09 Issue: Volume:95 Page:106322
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Amrani Ghita,Adadi Amina,Berrada Mohammed^ORCID

Publisher

Elsevier BV

Reference22 articles.

1. Interpreting deep learning models for epileptic seizure detection on EEG signals;Gabeff;Artif. Intell. Med.,2021

2. SeizFt: interpretable machine Learning for seizure detection using Wearables;Al-Hussaini;Bioengineering,2023

3. XAI4EEG: spectral and spatio-temporal explanation of deep learning-based seizure detection in EEG time series;Raab;Neural Comput. Appl.,2023

4. Explainable automated seizure detection using attentive deep multi-view networks;Einizade;Biomed. Signal Process. Control,2023

5. Epileptic seizure detection by using interpretable machine learning models;Zhao;J. Neural Eng.,2023

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