An Interpretable Deep Learning Classifier for Epileptic Seizure Prediction Using EEG Data

An Interpretable Deep Learning Classifier for Epileptic Seizure Prediction Using EEG Data

Deep learning has served pattern classification in many applications, with a performance which often well exceeds that of other machine learning paradigms. Yet, in general, deep learning has used computational architectures built, albeit partially, by ad hoc means, and its classification decisions a...

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Bibliographic Details
Main Authors: Imene Jemal, Neila Mezghani, Lina Abou-Abbas, Amar Mitiche
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Epileptic seizure prediction
deep neural networks
interpretable decisions
EEG signal
Online Access:https://ieeexplore.ieee.org/document/9777979/

Internet

https://ieeexplore.ieee.org/document/9777979/

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