Sleep-disordered breathing (SDB) is a common and serious cause of cardiovascular and neurocognitive morbidity in children and adults. Overnight polysomnography is presently the gold standard for the clinical diagnosis of certain forms of obstructed breathing, but such procedures are costly, cumbersome and not readily available. Recently, there has been increasing recognition that heart rate variability analysis using nonlinear dynamics theory may provide a useful, noninvasive marker for the obstructive sleep apnea syndrome (OSAS). This exploratory (R21) project will examine the feasibility and potential advantages of heartrate chaos as a novel measure of the changes in cardiac autonomic tone in adults and children with OSAS. Under the guidelines of the NHLBI Innovative Research Grant Program (PA-03-015), a three-way consortium between Massachusetts Institute of Technology, Brigham and Women's Hospital, and Children's Hospital in Boston has been established in order to provide the necessary bioinformatics/clinical expertise and related clinical databases for systematic evaluation of heart rate variability in OSAS using state-of-the-art analytical techniques. The results will define the nonlinear dynamics of heart rate variability in OSAS as a basis for future development of a reliable and noninvasive ambulatory screening test for OSAS in children and adults. ? ?

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Exploratory/Developmental Grants (R21)
Project #
3R21HL075014-02S1
Application #
7106791
Study Section
Respiratory Physiology Study Section (RESP)
Program Officer
Twery, Michael
Project Start
2004-03-01
Project End
2007-02-28
Budget Start
2005-03-01
Budget End
2007-02-28
Support Year
2
Fiscal Year
2005
Total Cost
$8,748
Indirect Cost
Name
Massachusetts Institute of Technology
Department
Other Health Professions
Type
Schools of Arts and Sciences
DUNS #
001425594
City
Cambridge
State
MA
Country
United States
Zip Code
02139
Li, Cheng; Ding, Guang-Hong; Wu, Guo-Qiang et al. (2010) Band-phase-randomized surrogate data reveal high-frequency chaos in heart rate variability. Conf Proc IEEE Eng Med Biol Soc 2010:2806-9
Li, Cheng; Ding, Guang-Hong; Wu, Guo-Qiang et al. (2009) Fractal, entropic and chaotic approaches to complex physiological time series analysis: a critical appraisal. Conf Proc IEEE Eng Med Biol Soc 2009:3429-32
Wu, Guo-Qiang; Arzeno, Natalia M; Shen, Lin-Lin et al. (2009) Chaotic signatures of heart rate variability and its power spectrum in health, aging and heart failure. PLoS One 4:e4323
Fang, Yong; Sun, Jin-Tao; Li, Cheng et al. (2008) Effect of different breathing patterns on nonlinearity of heart rate variability. Conf Proc IEEE Eng Med Biol Soc 2008:3220-3
Li, Cheng; Tang, Da-Kan; Zheng, Da-An et al. (2008) Comparison of nonlinear indices in analyses of heart rate variability. Conf Proc IEEE Eng Med Biol Soc 2008:2145-8
Arzeno, Natalia M; Deng, Zhi-De; Poon, Chi-Sang (2008) Analysis of first-derivative based QRS detection algorithms. IEEE Trans Biomed Eng 55:478-84
Poon, Chi-Sang; Tin, Chung; Yu, Yunguo (2007) Homeostasis of exercise hyperpnea and optimal sensorimotor integration: the internal model paradigm. Respir Physiol Neurobiol 159:1-13;discussion 14-20
Arzeno, Natalia M; Kearney, Mark T; Eckberg, Dwain L et al. (2007) Heart rate chaos as a mortality predictor in mild to moderate heart failure. Conf Proc IEEE Eng Med Biol Soc 2007:5051-4
Arzeno, Natalia M; Poon, Chi-Sang; Deng, Zhi-De (2006) Quantitative analysis of QRS detection algorithms based on the first derivative of the ECG. Conf Proc IEEE Eng Med Biol Soc 1:1788-91
Wu, G Q; Shen, L L; Tang, D K et al. (2006) Circadian rhythms of spectral components of heart rate variability. Conf Proc IEEE Eng Med Biol Soc 1:3557-60

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