Prediction of Obstructive Sleep Apnea Based on Respiratory Sounds Recorded Between Sleep Onset and Sleep Offset-Reference-Cited by-同舟云学术

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Prediction of Obstructive Sleep Apnea Based on Respiratory Sounds Recorded Between Sleep Onset and Sleep Offset

Published:2019-02-01 Issue:1 Volume:12 Page:72-78
ISSN:1976-8710
Container-title:Clinical and Experimental Otorhinolaryngology
language:en
Short-container-title:Clin Exp Otorhinolaryngol

Author:

Kim Jeong-Whun,Kim Taehoon,Shin Jaeyoung,Choe Goun,Lim Hyun Jung,Rhee Chae-Seo,Lee Kyogu,Cho Sung-Woo

Funder

National Research Foundation of Korea

Ministry of Science, ICT and Future Planning

Publisher

Korean Society of Otorhinolaryngology-Head and Neck Surgery

Subject

Otorhinolaryngology,Surgery

Link

http://e-ceo.org/upload/pdf/ceo-2018-00388.pdf

Reference25 articles.

1. Association of obstructive sleep apnoea with the risk of vascular outcomes and all-cause mortality: a meta-analysis

2. Increased Prevalence of Sleep-Disordered Breathing in Adults

3. Portable Monitors in the Diagnosis of Obstructive Sleep Apnea

4. Overview of smartphone applications for sleep analysis

5. Smartphone apps for snoring

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1. Enhanced machine learning approaches for OSA patient screening: model development and validation study;Scientific Reports;2024-08-26

2. In-Home Smartphone-Based Prediction of Obstructive Sleep Apnea in Conjunction With Level 2 Home Polysomnography;JAMA Otolaryngology–Head & Neck Surgery;2024-01-01

3. Validity of non-contact methods for diagnosis of Obstructive Sleep Apnea: a systematic review and meta-analysis;Journal of Clinical Anesthesia;2023-08

4. Application of artificial intelligence in the diagnosis of sleep apnea;Journal of Clinical Sleep Medicine;2023-07

5. Multi-feature fusion and improved BO and IGWO metaheuristics based models for automatically diagnosing the sleep disorders from sleep sounds;Computers in Biology and Medicine;2023-05

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