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AS3-SAE: Automatic Sleep Stages Scoring using Stacked Autoencoders

Sleep is a subconscious state, and the brain is active during it. Automatic classification of sleep stages can help identify various diseases. In this paper, a deep learning type neural network called Stacked Autoencoders (SAEs) is used to automatically classify sleep stages with high computing spe...

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Principais autores: Mahtab Vaezi, Mehdi Nasri
פורמט: Artigo
שפה:Inglês
יצא לאור: Tehran University of Medical Sciences 2023-09-01
סדרה:Frontiers in Biomedical Technologies
נושאים:
Sleep stages
Stacked Autoencoder
Single channel EEG
Deep learning
ECG.
גישה מקוונת:https://fbt.tums.ac.ir/index.php/fbt/article/view/486
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