Long range correlations in the heart rate variability following the injury of cardiac arrest
Long range correlations in the heart rate variability following the injury of cardiac arrest
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DOI：
10.1016/j.physa.2007.02.078
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发表时间：
2007-07
影响因子：
3.3
通讯作者：
S. Tong;Dineng Jiang;Zi-Ming Wang;Yisheng Zhu;R. Geocadin;N. Thakor
中科院分区：
文献类型：
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作者：
S. Tong;Dineng Jiang;Zi-Ming Wang;Yisheng Zhu;R. Geocadin;N. Thakor
心脏骤停（CA）后的心血管和神经系统恢复在很大程度上影响患者的发病率和死亡率。监测心血管系统一直是重症监护病房（ICU）的重要临床问题。另一方面，CA后心率变异性的节律仍不完全清楚，并且报道CA后心血管功能恢复的文献数量有限。在本文中，我们通过基于中心移动平均的去趋势波动分析 (DFA) 研究了 CA 后心率变异性 (HRV) 的缩放特性。我们的结果表明，基线 HRV 的比例因子接近于布朗运动的比例因子，并且在 CA 事件之后，它转变为类似 1/f 噪声的节律。 DFA 可能是评估 CA 损伤后心血管长期恢复的有前途的工具。
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.