StApneaNet: A Deep Learning-Based Automatic Sleep Stage Adaptive Apnea Detection Network Using Single Channel EEG Signal

StApneaNet: A Deep Learning-Based Automatic Sleep Stage Adaptive Apnea Detection Network Using Single Channel EEG Signal

Sleep apnea is a serious sleep disorder that is characterized by abnormal pauses in breathing. It is related to neural activity that depends on the associated sleep stage of an apnea event. Electroencephalography (EEG) signal is widely used for neural activity analysis and can play a significant rol...

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Bibliographic Details
Main Authors: Suvasish Saha, Shaikh Anowarul Fattah, Mohammad Saquib
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Sleep apnea
sleep stage
EEG
causal convolution
attention
Bi-LSTM
Online Access:https://ieeexplore.ieee.org/document/10804148/
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https://ieeexplore.ieee.org/document/10804148/

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