Deep Recurrent Neural Networks for Automatic Detection of Sleep Apnea from Single Channel Respiration Signals

Deep Recurrent Neural Networks for Automatic Detection of Sleep Apnea from Single Channel Respiration Signals

Sleep apnea is a common sleep disorder that causes repeated breathing interruption during sleep. The performance of automated apnea detection methods based on respiratory signals depend on the signals considered and feature extraction methods. Moreover, feature engineering techniques are highly depe...

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Detalles Bibliográficos
Autores principales: Hisham ElMoaqet, Mohammad Eid, Martin Glos, Mutaz Ryalat, Thomas Penzel
Formato: Artículo
Lenguaje:English
Publicado: MDPI AG 2020-09-01
Colección:Sensors
Materias:
sleep apnea
deep learning
recurrent neural network
long short-term memory
sleep-disordered breathing
Acceso en línea:https://www.mdpi.com/1424-8220/20/18/5037

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