An End-to-End Multi-Channel Convolutional Bi-LSTM Network for Automatic Sleep Stage Detection

Sleep stage detection from polysomnography (PSG) recordings is a widely used method of monitoring sleep quality. Despite significant progress in the development of machine-learning (ML)-based and deep-learning (DL)-based automatic sleep stage detection schemes focusing on single-channel PSG data, su...

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Bibliografiske detaljer

Principais autores:	Tabassum Islam Toma, Sunwoong Choi
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2023-05-01
Serier:	Sensors
Fag:	automatic sleep stage detection convolutional neural network (CNN) bidirectional long short-term memory (Bi-LSTM) electroencephalogram (EEG) electrooculogram (EOG)
Online adgang:	https://www.mdpi.com/1424-8220/23/10/4950
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