Open Access<p>Sleep/Wakefulness Detection Using Tracheal Sounds and Movements</p>
Author(s) -
Nasim Montazeri Ghahjaverestan,
Sina Akbarian,
Maziar Hafezi,
Shumit Saha,
Kevin Zhu,
Bojan Gavrilović,
Babak Taati,
Azadeh Yadollahi
Publication year - 2020
Publication title -
nature and science of sleep
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.715
H-Index - 34
ISSN - 1179-1608
DOI - 10.2147/nss.s276107
Subject(s) - wakefulness , polysomnography , medicine , sleep (system call) , apnea , sleep apnea , sleep onset , audiology , gold standard (test) , anesthesia , electroencephalography , insomnia , psychiatry , computer science , operating system
The current gold standard to detect sleep/wakefulness is based on electroencephalogram, which is inconvenient if included in portable sleep screening devices. Therefore, a challenge in the portable devices is sleeping time estimation. Without sleeping time, sleep parameters such as apnea/hypopnea index (AHI), an index for quantifying sleep apnea severity, can be underestimated. Recent studies have used tracheal sounds and movements for sleep screening and calculating AHI without considering sleeping time. In this study, we investigated the detection of sleep/wakefulness states and estimation of sleep parameters using tracheal sounds and movements.