Variation of snoring properties with Macro Sleep Stages in a population of Obstructive Sleep Apnea

Akhter, Shahin, Abeyratne, U. R. and Swarnkar, Vinayak (2013). Variation of snoring properties with Macro Sleep Stages in a population of Obstructive Sleep Apnea. In: 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’13), Osaka, Japan, (1318-1321). 3-7 July 2013. doi:10.1109/EMBC.2013.6609751

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Author Akhter, Shahin
Abeyratne, U. R.
Swarnkar, Vinayak
Title of paper Variation of snoring properties with Macro Sleep Stages in a population of Obstructive Sleep Apnea
Conference name 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’13)
Conference location Osaka, Japan
Conference dates 3-7 July 2013
Proceedings title 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)   Check publisher's open access policy
Journal name IEEE Engineering in Medicine and Biology Society. Conference Proceedings   Check publisher's open access policy
Place of Publication Piscataway, NJ, United States
Publisher I E E E
Publication Year 2013
Sub-type Fully published paper
DOI 10.1109/EMBC.2013.6609751
ISBN 9781457702167
ISSN 1557-170X
Start page 1318
End page 1321
Total pages 4
Language eng
Formatted Abstract/Summary
Snoring is common in Obstructive Sleep Apnea (OSA) patients. Snoring originates from the vibration of soft tissues in the upper airways (UA). Frequent UA collapse in OSA patients leads to sleep disturbances and arousal. In a routine sleep diagnostic procedure, sleep is broadly divided into rapid eye movement (REM), non-REM (NREM) states. These
Macro-Sleep States (MSS) are known to be involved with different neuromuscular activities. These differences should
influence the UA mechanics in OSA patients as well as the snoring sound (SS). In this paper, we propose a logistic
regression model to investigate whether the properties of SS from OSA patients can be separated into REM/NREM group.
Analyzing mathematical features of more than 500 SS events from 7 OSA patients, the model achieved 76% (± 0.10)
sensitivity and 75% (± 0.10) specificity in categorizing REM and NREM related snores. These results indicate that snoring is
affected by REM/NREM states and proposed method has potential in differentiating MSS.
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ

 
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Created: Fri, 19 Jul 2013, 02:56:33 EST by Mr Vinayak Swarnkar on behalf of School of Information Technol and Elec Engineering