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Accuracy Analysis of Embletta X100 for the Diagnosis of Obstructive Sleep Apnea and the Assessment of Sleep Structure
Author(s) -
Hyun Jun Kim,
Jae Hoon Cho,
So Young Kang,
ByoungJoo Choi
Publication year - 2018
Publication title -
journal of rhinology
Language(s) - English
Resource type - Journals
eISSN - 2384-4361
pISSN - 1229-1498
DOI - 10.18787/jr.2018.25.1.32
Subject(s) - medicine , obstructive sleep apnea , sleep (system call) , sleep apnea , polysomnography , apnea , computer science , operating system
Obstructive sleep apnea (OSA) is a highly prevalent sleep disorder characterized by repetitive upper airway collapse during sleep. OSA can cause various problems including daytime sleepiness, neurocognitive impairment, cardiovascular and metabolic disorders, and traffic accidents. The prevalence of OSA varies among studies, but it is presumed to be around 6-17% when OSA is defined as greater than 15 obstructive breathing events per hour during sleep. Moreover, the worldwide prevalence is believed to increase along with the global rise of obesity. Therefore, the demand for prompt detection of OSA patients is also increasing. The gold standard for the diagnosis of OSA is polysomnography (PSG). However, it requires expensive equipment, an appropriate place, and qualified personnel, and therefore, the accessibility to PSG is extremely limited. To overcome these problems, many portable sleep monitoring devices have been developed. They are cost-effective and easy-to-use, and the tests of these devices can be conducted at home. At the beginning stage of development, the portable sleep monitoring devices were regarded as inaccurate and unreliable for detecting OSA. Recently, the devices have advanced rapidly and they are considered as an alternative to polysomnography under appropriate con-

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