Application of deconvolutional networks for feature interpretability in epilepsy detection

Application of deconvolutional networks for feature interpretability in epilepsy detection

IntroductionScalp electroencephalography (EEG) is commonly used to assist in epilepsy detection. Even automated detection algorithms are already available to assist clinicians in reviewing EEG data, many algorithms used for seizure detection in epilepsy fail to account for the contributions of diffe...

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Bibliographic Details
Main Authors: Sihao Shao, Yu Zhou, Ruiheng Wu, Aiping Yang, Qiang Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Neuroscience
Subjects:
seizure detection
EEG
deconvolution network
interpretability analysis
deep learning
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2024.1539580/full
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