24小时动态心电图R中RR间期复杂性的昼夜变化

2014 8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO) Pub Date : 2014-05-25 DOI:10.1109/ESGCO.2014.6847590

S. Zurek, J. Piskorski, Premislaw Guzik, M. Kośmider, Mateus Lewandowski, P. Castiglioni

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引用次数: 0

摘要

RR区间的复杂度可以通过固定嵌入维数m和距离阈值r的样本熵(SampEn)来测量，SampEn传统上只能对有限数量的点进行估计。最近，我们提出了一种新的快速范数分量矩阵(NCM)算法用于SampEn计算-它允许分析(m, r)值的整个范围导致熵面。本研究旨在分析这些表面在NCM估计的RR区间复杂性的日-夜变化范围内的变化。

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Day-to-night variations of RR intervals complexity observed in 24-h ECG Holter R

Complexity of RR intervals can be measured by Sample entropy (SampEn) traditionally estimated only for a limited number of points by fixing the values of the embedding dimension "m" and distance threshold "r". Recently we have proposed a new and fast Norm Component Matrix (NCM) algorithm for SampEn calculation - it allows analyzing whole ranges of (m, r) values leading to entropy surfaces. This study is aimed at the analysis of these surfaces in the scope of day-to-night variations of RR intervals complexity estimated by the NCM.

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来源期刊

2014 8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO)

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