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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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Principais autores: Tabassum Islam Toma, Sunwoong Choi
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2023-05-01
Colecção:Sensors
Assuntos:
automatic sleep stage detection
convolutional neural network (CNN)
bidirectional long short-term memory (Bi-LSTM)
electroencephalogram (EEG)
electrooculogram (EOG)
Acesso em linha:https://www.mdpi.com/1424-8220/23/10/4950
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