Empirical Mode Decomposition for Deep Learning-Based Epileptic Seizure Detection in Few-Shot Scenario

Empirical Mode Decomposition for Deep Learning-Based Epileptic Seizure Detection in Few-Shot Scenario

The precise and automated detection of epileptic seizures has become a focal point of research due to its potential to alleviate the severe consequences experienced by patients. Recent advancements in deep learning-based detection techniques utilizing electroencephalogram (EEG) signals have yielded...

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Bibliographic Details
Main Authors: Yayan Pan, Fangying Dong, Wei Yao, Xiaoqin Meng, Yongan Xu
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Seizure
electroencephalogram (EEG)
empirical mode decomposition (EMD)
deep learning
convolutional neural networks (CNNs)
Online Access:https://ieeexplore.ieee.org/document/10559822/

Internet

https://ieeexplore.ieee.org/document/10559822/

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