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

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

Objectives To develop a simple algorithm for prescreening of obstructive sleep apnea (OSA) on the basis of respiratorysounds recorded during polysomnography during all sleep stages between sleep onset and offset. Methods Patients who underwent attended, in-laboratory, full-night polysomnography were...

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Bibliographic Details
Main Authors: Jeong-Whun Kim, Taehoon Kim, Jaeyoung Shin, Goun Choe, Hyun Jung Lim, Chae-Seo Rhee, Kyogu Lee, Sung-Woo Cho
Format: Article
Language:English
Published: Korean Society of Otorhinolaryngology-Head and Neck Surgery 2019-02-01
Series:Clinical and Experimental Otorhinolaryngology
Subjects:
Obstructive Sleep Apnea
Respiratory Sounds
Polysomnography
Machine Learning
Online Access:http://www.e-ceo.org/upload/pdf/ceo-2018-00388.pdf

Internet

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

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