Sleep Apnea Detection From Variational Mode Decomposed EEG Signal Using a Hybrid CNN-BiLSTM

Sleep apnea, a severe sleep disorder, is a clinically complicated disease that requires timely diagnosis for proper treatment. In this paper, an automated deep learning-based approach is proposed for the detection of sleep apnea frames from electroencephalogram (EEG) signals. Unlike conventional met...

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Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Tanvir Mahmud, Ishtiaque Ahmed Khan, Talha Ibn Mahmud, Shaikh Anowarul Fattah, Wei-Ping Zhu, M. Omair Ahmad
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	IEEE 2021-01-01
Σειρά:	IEEE Access
Θέματα:	Sleep apnea variational mode decomposition computer-aided diagnosis neural network EEG signal
Διαθέσιμο Online:	https://ieeexplore.ieee.org/document/9483901/
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