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The Research of Fractal Characteristics of the Electrocardiogram in a Real Time Mode

The Research of Fractal Characteristics of the Electrocardiogram in a Real Time Mode
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摘要 The article presents the results of recent investigations into Holter monitoring of ECG, using non-linear analysis methods. This paper discusses one of the modern methods of time series analysis--a method of deterministic chaos theory. It involves the transition from study of the characteristics of the signal to the investigation of metric （and probabilistic） properties of the reconstructed attractor of the signal. It is shown that one of the most precise characteristics of the functional state of biological systems is the dynamical trend of correlation dimension and entropy of the reconstructed attractor. On the basis of this it is suggested that a complex programming apparatus be created for calculating these characteristics on line. A similar programming product is being created now with the support of RFBR. The first results of the working program, its adjustment, and further development, are also considered in the article.
作者 Valery Antonov Anatoly Kovalenko Artem Zagaynov Vu Van Quang
机构地区 St. Petersburg State Polytehnical University loffe Physical-Technical Institute of the Russian Academy of Sciences
出处 《Journal of Mathematics and System Science》 2012年第3期191-195,共5页 数学和系统科学（英文版）
关键词 Holter monitoring ECG correlation dimension fractal analysis of time series non-linear dynamics of heart rate 动态心电图 分形特征 现代时间序列分析方法 非线性分析方法 实时 调查结果 心电监护 混沌理论
分类号 TH772.2 [机械工程—精密仪器及机械] TP391.41 [自动化与计算机技术—计算机应用技术]
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Journal of Mathematics and System Science
2012年 第3期

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