Identification of the deterministic chaos in cardiovascular dynamics by the use of the non-linear mathematics.

T Yambe, S Nitta, T Sonobe, S Naganuma, S Kobayashi, Y Haga, M Tanaka, T Fukuju, M Miura, N Sato
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Abstract

Chaotic behavior in cardiovascular dynamics was thought to be one of the important information to analyze the circulatory regulatory system. Several investigators studied the attractor in the signals of the electrocardiogram, and found the strange attractor, suggesting dynamics compatible with deterministic chaos, by the use of the non-linear mathematics. It is interesting problem to analyze the hemodynamic parameters by the use of non-linear mathematics for the determination of the physiologically optimal circulatory condition. In this study, Chaos analyzing system was developed to identify the deterministic chaos in cardiovascular regulatory system by the use of the non-linear mathematics including phase plane plots, embedding, and lyapunov exponents. Time series data of the hemodynamic parameters in the chronic animal experiments was analyzed by this system, and satisfactory attractor was obtained by the use of the phase plane plots and embedding techniques. Furthermore, calculation of the lyapunov exponents showed the existence of the deterministic chaos in arterial blood pressure in the chronic animal experiments using adult goats, suggesting this tool is useful for analyzing cardiovascular dynamic behavior.

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用非线性数学方法辨识心血管动力学中的确定性混沌。
心血管动力学中的混沌行为被认为是分析循环调节系统的重要信息之一。一些研究者利用非线性数学方法对心电图信号中的吸引子进行了研究,发现了奇异的吸引子,提示动力学与确定性混沌相容。利用非线性数学方法分析血液动力学参数,确定生理最佳循环状态是一个有趣的问题。本研究利用相平面图、嵌入和李雅普诺夫指数等非线性数学方法,建立了混沌分析系统来识别心血管调节系统中的确定性混沌。该系统对慢性动物实验中血流动力学参数的时间序列数据进行了分析,并利用相平面图和嵌入技术获得了满意的吸引子。此外,李雅普诺夫指数的计算表明,在成年山羊的慢性动物实验中,动脉血压存在确定性混沌,表明该工具可用于分析心血管动力学行为。
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