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对离体心脏实验的计算机支持。

Computer support for experiments on isolated hearts.

作者信息

Kocijancic S, Drevensek G, Budihna M V

机构信息

Department of Physics and Technical Craft, Faculty of Education, University of Ljubljana, Slovenia.

出版信息

Pflugers Arch. 1996;431(6 Suppl 2):R273-4. doi: 10.1007/BF02346374.

DOI:10.1007/BF02346374
PMID:8739370
Abstract

The left ventricular pressure (LVP) and ECG signals that appear during and after ischaemia tend to be very irregular (fibrillation, arrhythmia). Computer based data acquisition system, that we developed to support experiments on isolated Langendorff's rat heart, enabled the usage of methods derived from non-linear dynamics. To classify the irregularity of heart action, ECG and LVP time series have been used to calculate correlation dimension (D2) and largest Lyapunov exponent. We compared the results of signals derived from isolated heart at standard conditions and hearts rendered ischaemic for 60 minutes. Our results show that the level of irregularity can be classified efficiently using the quoted approach.

摘要

缺血期间及之后出现的左心室压力(LVP)和心电图信号往往非常不规则(颤动、心律失常)。我们开发的基于计算机的数据采集系统用于支持对离体朗格多夫大鼠心脏的实验,该系统使得源自非线性动力学的方法得以应用。为了对心脏活动的不规则性进行分类,已使用心电图和左心室压力时间序列来计算关联维数(D2)和最大Lyapunov指数。我们比较了在标准条件下离体心脏以及缺血60分钟的心脏所产生信号的结果。我们的结果表明,使用上述方法可以有效地对不规则程度进行分类。

相似文献

1
Computer support for experiments on isolated hearts.对离体心脏实验的计算机支持。
Pflugers Arch. 1996;431(6 Suppl 2):R273-4. doi: 10.1007/BF02346374.
2
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[Dynamical analysis of the nonlinearity in the model of acute myocardial ischemia].[急性心肌缺血模型非线性的动力学分析]
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2004 Oct;21(5):770-4.
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New approach to studies on ECG dynamics: extraction and analyses of QRS complex irregularity time series.心电图动态研究的新方法:QRS波群不规则时间序列的提取与分析。
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Electrocardiographic and signal monitoring in ischaemic heart disease: state of the art and perspective.缺血性心脏病的心电图和信号监测:现状与展望
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Detection of cardiac variability in the isolated rat heart.离体大鼠心脏中心脏变异性的检测。
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本文引用的文献

1
Optimal delay time and embedding dimension for delay-time coordinates by analysis of the global static and local dynamical behavior of strange attractors.通过对奇异吸引子的全局静态和局部动态行为进行分析来确定延迟时间坐标的最佳延迟时间和嵌入维数。
Phys Rev A. 1992 May 15;45(10):7073-7084. doi: 10.1103/physreva.45.7073.
2
Non-linear dynamics of cardiovascular variability signals.心血管变异性信号的非线性动力学
Methods Inf Med. 1994 Mar;33(1):81-4.
3
Lack of evidence for low-dimensional chaos in heart rate variability.心率变异性中低维混沌现象缺乏证据。
J Cardiovasc Electrophysiol. 1994 Jul;5(7):591-601. doi: 10.1111/j.1540-8167.1994.tb01300.x.