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Estimation of cardiopulmonary coupling by ECG-derived respiration signals during sleep
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Hwang, Su Hwan | - |
dc.contributor.author | Lee, Jeong Su | - |
dc.contributor.author | Chung, Gih Sung | - |
dc.contributor.author | Jeong, Do-Un | - |
dc.contributor.author | Park, Kwang Suk | - |
dc.date.accessioned | 2012-06-29T02:18:19Z | - |
dc.date.available | 2012-06-29T02:18:19Z | - |
dc.date.issued | 2010-09 | - |
dc.identifier.citation | INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY; Vol.77 3; 289-289 | ko_KR |
dc.identifier.issn | 0167-8760 | - |
dc.identifier.uri | https://hdl.handle.net/10371/77888 | - |
dc.description.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. | ko_KR |
dc.language.iso | en | ko_KR |
dc.publisher | ELSEVIER SCIENCE BV | ko_KR |
dc.title | Estimation of cardiopulmonary coupling by ECG-derived respiration signals during sleep | ko_KR |
dc.type | Article | ko_KR |
dc.contributor.AlternativeAuthor | 황수환 | - |
dc.contributor.AlternativeAuthor | 이정수 | - |
dc.contributor.AlternativeAuthor | 정지성 | - |
dc.contributor.AlternativeAuthor | 정도언 | - |
dc.contributor.AlternativeAuthor | 박광석 | - |
dc.identifier.doi | 10.1016/j.ijpsycho.2010.06.161 | - |
dc.citation.journaltitle | INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY | - |
dc.description.tc | 0 | - |
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