TY - JOUR
T1 - Long range correlations in the heart rate variability following the injury of cardiac arrest
AU - Tong, Shanbao
AU - Jiang, Dineng
AU - Wang, Ziming
AU - Zhu, Yisheng
AU - Geocadin, Romeryko G.
AU - Thakor, Nitish V.
N1 - Funding Information:
This work is partly supported by NSFC (Nos. 60601012 and 60671058), FANEDD of PR China, and the funding of Shanghai Jiao Tong University Funding for Young Faculties, N.V.T. and R.G.G. are also partly supported by the NIH Grant 1RO1HL71568. The authors are indebted to Dr. Goroku Moriwaki for animal experiments, and their friend, William Lau, for manuscript preparation.
Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2007/7/1
Y1 - 2007/7/1
N2 - Cardiovascular and neurological recovery following cardiac arrest (CA) largely influence the morbidity and mortality of the patients. Monitoring the cardiovascular system has been an important clinical issue in intensive care unit (ICU). On the other hand, the rhythms of the heart rate variability following CA are still not fully understood, and there are limited number of literatures reporting the cardiovascular function recovery following CA. In this paper, we studied the scaling properties of heart rate variability (HRV) after CA by centered-moving-average-based detrended fluctuation analysis (DFA). Our results showed that the scaling factor of the baseline HRV is close to that of Brownian motion, and after a CA event it shifts to a 1 / f noise-like rhythm. DFA could be a promising tool in evaluating the cardiovascular long term recovery following CA injury.
AB - Cardiovascular and neurological recovery following cardiac arrest (CA) largely influence the morbidity and mortality of the patients. Monitoring the cardiovascular system has been an important clinical issue in intensive care unit (ICU). On the other hand, the rhythms of the heart rate variability following CA are still not fully understood, and there are limited number of literatures reporting the cardiovascular function recovery following CA. In this paper, we studied the scaling properties of heart rate variability (HRV) after CA by centered-moving-average-based detrended fluctuation analysis (DFA). Our results showed that the scaling factor of the baseline HRV is close to that of Brownian motion, and after a CA event it shifts to a 1 / f noise-like rhythm. DFA could be a promising tool in evaluating the cardiovascular long term recovery following CA injury.
KW - Cardiac arrest
KW - Detrended fluctuation analysis
KW - Heart rate variability
KW - Long range correlation
KW - Scaling factor
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U2 - 10.1016/j.physa.2007.02.078
DO - 10.1016/j.physa.2007.02.078
M3 - Article
AN - SCOPUS:34247851052
SN - 0378-4371
VL - 380
SP - 250
EP - 258
JO - Physica A: Statistical Mechanics and its Applications
JF - Physica A: Statistical Mechanics and its Applications
IS - 1-2
ER -