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An audio-semantic multimodal model for automatic obstructive sleep Apnea-Hypopnea Syndrome classification via multi-feature analysis of snoring sounds

IntroductionObstructive Sleep Apnea-Hypopnea Syndrome (OSAHS) is a common sleep-related breathing disorder that significantly impacts the daily lives of patients. Currently, the diagnosis of OSAHS relies on various physiological signal monitoring devices, requiring a comprehensive Polysomnography (P...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Xihe Qiu, Chenghao Wang, Bin Li, Huijie Tong, Xiaoyu Tan, Long Yang, Jing Tao, Jingjing Huang
Format: Artigo
Sprache:Inglês
Veröffentlicht: Frontiers Media S.A. 2024-05-01
Schriftenreihe:Frontiers in Neuroscience
Schlagworte:
obstructive sleep Apnea-Hypopnea Syndrome
snoring sounds
semantic information
PubMedBERT
multimodal model
Online-Zugang:https://www.frontiersin.org/articles/10.3389/fnins.2024.1336307/full
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