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REM sleep estimation only using respiratory dynamics

Cited 17 time in Web of Science Cited 22 time in Scopus
Authors
Chung, Gih Sung; Choi, Byung Hoon; Lee, Jin-Seong; Lee, Jeong Su; Park, Kwang Suk; Jeong, Do-Un
Issue Date
2009-12
Publisher
IOP PUBLISHING LTD
Citation
PHYSIOLOGICAL MEASUREMENT; Vol.30 12; 1327-1340
Keywords
REM sleepautomatic detectionrespiratory physiologysleep stage estimation
Abstract
Polysomnography (PSG) is currently considered the gold standard for assessing sleep quality. However, the numerous sensors that must be attached to the subject can disturb sleep and limit monitoring to within hospitals and sleep clinics. If data could be obtained without such constraints, sleep monitoring would be more convenient and could be extended to ordinary homes. During rapid-eye-movement (REM) sleep, respiration rate and variability are known to be greater than in other sleep stages. Hence, we calculated the average rate and variability of respiration in an epoch (30 s) by applying appropriate smoothing algorithms. Increased and irregular respiratory patterns during REM sleep were extracted using adaptive and linear thresholds. When both parameters simultaneously showed higher values than the thresholds, the epochs were assumed to belong to REM sleep. Thermocouples and piezoelectric-type belts were used to acquire respiratory signals. Thirteen healthy adults and nine obstructive sleep apnea (OSA) patients participated in this study. Kappa statistics showed a substantial agreement (kappa > 0.60) between the standard and respiration-based methods. One-way ANOVA analysis showed no significant difference between the techniques for total REM sleep. This approach can also be applied to the non-intrusive measurement of respiration signals, making it possible to automatically detect REM sleep without disturbing the subject.
ISSN
0967-3334
Language
English
URI
https://hdl.handle.net/10371/77878
DOI
https://doi.org/10.1088/0967-3334/30/12/003
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College of Medicine/School of Medicine (의과대학/대학원)Biomedical Engineering (의공학전공)Journal Papers (저널논문_의공학전공)
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