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Estimation of cardiopulmonary coupling by ECG-derived respiration signals during sleep

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Authors
Hwang, Su Hwan; Lee, Jeong Su; Chung, Gih Sung; Jeong, Do-Un; Park, Kwang Suk
Issue Date
2010-09
Publisher
ELSEVIER SCIENCE BV
Citation
INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY; Vol.77 3; 289-289
Abstract
Both the cardiac and the pulmonary systems are controlled by the
autonomic nervous system and their activities are coupled with each
other. The strength of coupling is affected by the activation and
dominance of sympathetic or parasympathetic tones. As autonomic
tones vary parallel to the progress of sleep, accompanying variation of
cardiopulmonary coupling (CPC) can be expected. In this study, we
derived respiration signals from ECG and evaluated the accuracy of
derived respiration signals as a measure of CPC strength. If the coupling
is strong, the accuracy of ECG-derived respiration (ECGdR) signals will
increase. Otherwise, the estimation error will increase.
A whole night polysomnogram (PSG) was recorded for four
healthy subjects (4 males, 32±3.74 years) and sleep stages were
scored by the experts. For each sleep stage, three successive motionfree
epochs (i.e. total of 90 s) were selected for analysis. Respiration
was derived from ECG by R-peak detection, calculation of the RR
intervals, interpolation with cubic-spline function and filtering with
0.2–0.8 Hz of passband (the normal frequency range of the
respiratory signals). For each sleep stage, the peaks of ECGdR
spectrum were compared with peak frequencies of reference
respiration signals measured from the nose with thermocouple sensors during PSG recording. And, respiration intervals from the ECGdR and
reference respiration signals were compared and the root mean square
error (RMSE) was calculated as a measure representing the CPC
strength.
During the non-REM sleep, RMSE decreased as sleep progressed
from light into deep sleep. Also, in some cases, RMSE during the REM
sleep was much larger than during the non-REM sleep. We suggest
that it is caused by the relative parasympathetic dominance during
non-REM sleep vs. REM sleep. In conclusion, ECGdR could be utilized
for the evaluation of CPC as well as for the estimation of the depth of
non-REM sleep.
ISSN
0167-8760
Language
English
URI
https://hdl.handle.net/10371/77888
DOI
https://doi.org/10.1016/j.ijpsycho.2010.06.161
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College of Medicine/School of Medicine (의과대학/대학원)Biomedical Engineering (의공학전공)Journal Papers (저널논문_의공학전공)
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