心拍変動のカオス的解析 : 加齢性変化と臨床的応用への検討(自然科学系)
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概要
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This paper describes a method for chaotic analysis of heart rate variability. The box-counting dimensions and the largest Lyapunov exponents were determined from normal individuals and patients with cardiac diseases. The following was revealed, i)the box-counting dimensions, the largest Lyapunov exponents and the positive rates of the largest Lyapunov exponents decreased with the aging of individuals, ii) in cases of patients with diabetes mellitus, deep coma or acute myocardial infarction, the box-counting dimensions were lower than that of normal individuals and the largest Lyapunov exponents were almost all negative, iii) the largest Lyapunov exponents of patients with atrial fibrillations or frequent premature beats were all positive and higher than that of normal individuals, and iv) the box-counting dimensions of the patients with atrial fibrillations were higher and those of patients with frequent premature beats were lower than that of normal Individuals. From these results, it was suggested that patients with cardiac diseases may have higher or lower box-counting dimensions than that of normal individuals, so-called "chaotic characteristics" of heart rate variability may decrease with aging, and the chaotic characteristics may increase or decrease when the individual has cardiac disease. The function of the autonomic nervous system and/or the cardiovascular system can be shown visually in a 3-dimensional phase space. Thus, this method can be a new tool for clinical diagnosis.
- 1999-01-29
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