Deep extreme learning machine with knowledge augmentation for EEG seizure signal recognition

Deep extreme learning machine with knowledge augmentation for EEG seizure signal recognition

IntroductionIntelligent recognition of electroencephalogram (EEG) signals can remarkably improve the accuracy of epileptic seizure prediction, which is essential for epileptic diagnosis. Extreme learning machine (ELM) has been applied to EEG signals recognition, however, the artifacts and noises in...

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Bibliographic Details
Main Authors: Xiongtao Zhang, Shuai Dong, Qing Shen, Jie Zhou, Jingjing Min
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-08-01
Series:Frontiers in Neuroinformatics
Subjects:
multilayer extreme learning machine
deep network
knowledge utilization
EEG
seizure recognition
Online Access:https://www.frontiersin.org/articles/10.3389/fninf.2023.1205529/full

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https://www.frontiersin.org/articles/10.3389/fninf.2023.1205529/full

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