Deep Learning Model of Sleep EEG Signal by Using Bidirectional Recurrent Neural Network Encoding and Decoding

Deep Learning Model of Sleep EEG Signal by Using Bidirectional Recurrent Neural Network Encoding and Decoding

Electroencephalogram (EEG) is a signal commonly used for detecting brain activity and diagnosing sleep disorders. Manual sleep stage scoring is a time-consuming task, and extracting information from the EEG signal is difficult because of the non-linear dependencies of time series. To solve the afore...

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Bibliographic Details
Main Authors: Ziyang Fu, Chen Huang, Li Zhang, Shihui Wang, Yan Zhang
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Electronics
Subjects:
sleep staging
deep learning
brain–computer interface
convolutional neural network (CNN)
bidirectional recurrent neural network
Online Access:https://www.mdpi.com/2079-9292/11/17/2644

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https://www.mdpi.com/2079-9292/11/17/2644

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