DocumentCode
2104037
Title
Impact of obstructive sleep apnea on sleep-wake stage ratio
Author
Ng, Andrew Keong ; Cuntai Guan
Author_Institution
Inst. for Infocomm Res., Agency for Sci., Technol. & Res. (A*STAR), Singapore, Singapore
fYear
2012
fDate
Aug. 28 2012-Sept. 1 2012
Firstpage
4660
Lastpage
4663
Abstract
Patients with obstructive sleep apnea (OSA) experience fragmented sleep and exhibit different sleep architectures. While polysomnographic metrics for quantifying sleep architecture are studied, there is little information about the impact of OSA on the ratio of different sleep-wake stages (wake, W; rapid eye movement, REM; non-REM stages 1 to 3, N1 to N3). This study, therefore, aims to investigate the relationship between apnea-hypopnea index (AHI, a measure of OSA severity) and all possible ratios of sleep-wake stages. Sleep architectures of 24 adult subjects with suspected OSA were constructed according to the American Academy of Sleep Medicine scoring manual, and subsequently analyzed through various correlation (Pearson, Spearman, and Kendall) and regression (linear, logarithmic, exponential, and power-law) approaches. Results show a statistically significant positive, linear and monotonic correlation between AHI and REM/N3, as well as between AHI and N1/W (p-values <; 0.05). These findings imply that patients with increased severity of OSA may spend more time in REM than deep sleep, and in light sleep than wake (or less time in deep sleep than REM, and in wake than light sleep). A power-law regression model may possibly explain the relationships of AHI-REM/N3 and AHI-N1/W, and predict the value of AHI using REM/N3 or N1/W.
Keywords
biomedical measurement; medical disorders; sleep; OSA effects; OSA severity measure; apnea-hypopnea index; deep sleep; fragmented sleep; light sleep; nonREM stage; obstructive sleep apnea; polysomnographic metrics; rapid eye movement stage; sleep architectures; sleep-wake stage ratio; Correlation; Educational institutions; Indexes; Manuals; Sleep apnea; Standards; Adult; Aged; Algorithms; Female; Humans; Male; Middle Aged; Models, Biological; Polysomnography; Sleep Apnea, Obstructive; Sleep Stages; Wakefulness;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location
San Diego, CA
ISSN
1557-170X
Print_ISBN
978-1-4244-4119-8
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/EMBC.2012.6347006
Filename
6347006
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