An audio-semantic multimodal model for automatic obstructive sleep Apnea-Hypopnea Syndrome classific...
An audio-semantic multimodal model for automatic obstructive sleep Apnea-Hypopnea Syndrome classification via multi-feature analysis of snoring sounds
About this item
Full title
Author / Creator
Qiu, Xihe , Wang, Chenghao , Li, Bin , Tong, Huijie , Tan, Xiaoyu , Yang, Long , Tao, Jing and Huang, Jingjing
Publisher
Switzerland: Frontiers Media S.A
Journal title
Language
English
Formats
Publication information
Publisher
Switzerland: Frontiers Media S.A
Subjects
More information
Scope and Contents
Contents
Obstructive 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 (PSG). However, this invasive diagnostic method faces challenges...
Alternative Titles
Full title
An audio-semantic multimodal model for automatic obstructive sleep Apnea-Hypopnea Syndrome classification via multi-feature analysis of snoring sounds
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_e38d4de5e13040308cb1dcfbb4e25bd3
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e38d4de5e13040308cb1dcfbb4e25bd3
Other Identifiers
ISSN
1662-4548,1662-453X
E-ISSN
1662-453X
DOI
10.3389/fnins.2024.1336307
