DocumentCode :
766308
Title :
Autonomic Cardiovascular Control Following Transient Arousal From Sleep: A Time-Varying Closed-Loop Model
Author :
Blasi, Anna ; Jo, Javier Antonio ; Valladares, Edwin ; Juarez, Ricardo ; Baydur, Ahmet ; Khoo, Michael C K
Volume :
53
Issue :
1
fYear :
2006
Firstpage :
74
Lastpage :
82
Abstract :
Recent studies suggest that exposure to repetitive episodes of hypoxia and transient arousal can lead to increased risk for cardiovascular disease in patients with obstructive sleep apnea syndrome (OSAS). To obtain an improved understanding of and to quantitatively characterize the autonomic effects of arousal from sleep, a time-varying closed-loop model was used to determine the interrelationships among respiration, heart rate and blood pressure in 8 normal adults. A recursive least squares algorithm was used in combination with the Laguerre expansion technique to estimate the time-varying impulse responses of the 4 model components. We found that during arousal: 1) respiratory-cardiac coupling gain increases in nonrapid-eye movement (NREM) but not in REM sleep; 2) in both NREM and REM sleep, baroreflex gain shows an initial increase, but this is followed by a more sustained decrease below pre-arousal baseline levels, allowing sympathetic tone to be elevated over a relatively long duration; 3) the gains of other model components show increases with arousal that are consistent with the increased sympathetic modulation of systemic vascular resistance and contractility of the heart. These findings establish a normative database against which further measurements of cardiovascular arousal responses in OSAS may be compared.
Keywords :
Adaptive filtering; baroreflex; blood pressure variability; heart rate variability; respiratory sinus arrhythmia; system identification; Baroreflex; Blood pressure; Cardiology; Cardiovascular diseases; Databases; Heart rate; Lead; Least squares approximation; Recursive estimation; Sleep apnea; Adaptive filtering; baroreflex; blood pressure variability; heart rate variability; respiratory sinus arrhythmia; system identification; Adaptation, Physiological; Adult; Algorithms; Arousal; Autonomic Nervous System; Blood Pressure; Cardiovascular Physiology; Computer Simulation; Diagnosis, Computer-Assisted; Electrocardiography; Feedback; Heart Rate; Humans; Models, Cardiovascular; Models, Statistical; Reproducibility of Results; Respiratory Mechanics; Sensitivity and Specificity; Sleep; Statistics as Topic; Time Factors;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.2005.859789
Filename :
1561522
Link To Document :
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