A Hybrid DenseNet-LSTM Model for Epileptic Seizure Prediction

A Hybrid DenseNet-LSTM Model for Epileptic Seizure Prediction

The number of people diagnosed with epilepsy as a common brain disease accounts for about 1% of the world’s total population. Seizure prediction is an important study that can improve the lives of patients with epilepsy, and, in recent years, it has attracted more and more attention. In this paper,...

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Bibliographic Details
Main Authors: Sanguk Ryu, Inwhee Joe
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Applied Sciences
Subjects:
seizure prediction
electroencephalogram (EEG)
Discrete Wavelet Transforms (DWT)
Dense Convolutional Network (DenseNet)
Long Short-Term Memory (LSTM)
hybrid model
Online Access:https://www.mdpi.com/2076-3417/11/16/7661

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https://www.mdpi.com/2076-3417/11/16/7661

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