Objective Relationship Between Sleep Apnea and Frequency of Snoring Assessed by Machine Learning | Zendy

Hisham Alshaer | Zendy; Richard Hummel | Zendy; Monique Mendelson | Zendy; Travis Marshal | Zendy; T. Douglas Bradley | Zendy

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Objective Relationship Between Sleep Apnea and Frequency of Snoring Assessed by Machine Learning

Author(s) -

Hisham Alshaer,

Richard Hummel,

Monique Mendelson,

Travis Marshal,

T. Douglas Bradley

Publication year - 2019

Publication title -

journal of clinical sleep medicine

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.529

H-Index - 92

eISSN - 1550-9397

pISSN - 1550-9389

DOI - 10.5664/jcsm.7676

Subject(s) - medicine , obstructive sleep apnea , rehabilitation , sleep apnea , gerontology , sleep medicine , sleep disorder , physical therapy , psychiatry , cognition , cardiology

Snoring is perceived to be directly proportional to sleep apnea severity, especially obstructive sleep apnea (OSA), but this notion has not been thoroughly and objectively evaluated, despite its popularity in clinical practice. This might lead to overdiagnosis or underdiagnosis of OSA. The goal of this study is to examine this notion and objectively quantify the relationship between sleep apnea and snoring detected using advanced signal processing algorithms.

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