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...
Main Authors: | Ziyang Fu, Chen Huang, Li Zhang, Shihui Wang, Yan Zhang |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-08-01
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Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/11/17/2644 |
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