arXiv (All)
open access
Deep learning-based multi-level airway collapse site localization on obstructive sleep apnea patients based on snoring sounds
Objective This study evaluated deep learning models, specifically ResNet-50 and Audio Spectrogram Transformer (AST), to identify multi-level upper airway collapses in obstructive sleep apnea (OSA) patients using snoring sounds. Methods Snoring recordings from 37 subjects undergoing drug-induced slee
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