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运动试验中心跳时间序列极值分析。

Analysis of extrema of heartbeat time series in exercise test.

作者信息

Cammarota Camillo, Curione Mario

机构信息

Department of Mathematics, University of Rome La Sapienza P. le A. Moro 5, 00185 Roma.

出版信息

Math Med Biol. 2008 Mar;25(1):87-97. doi: 10.1093/imammb/dqn005. Epub 2008 Apr 30.

DOI:10.1093/imammb/dqn005
PMID:18448729
Abstract

The heartbeat time series of the electrocardiogram recorded during exercise test clearly reflects the physiological control mechanism of the autonomic nervous system on heart rate. This series shows both decreasing and increasing trends and variability of the variance. We analyse the series of intervals between two consecutive extrema, i.e. the durations of accelerations or decelerations of heart rate. We compute the distribution of the length of these intervals and their mean in a model of stationary independent variables, where they are independent of the variables' distribution. We use the mean length as discriminant statistics to compare stress and recovery phases. Data analysis performed over the heartbeat series of 14 healthy subjects shows significant difference between stress and recovery.

摘要

运动测试期间记录的心电图心跳时间序列清楚地反映了自主神经系统对心率的生理控制机制。该序列呈现出下降和上升趋势以及方差的变异性。我们分析两个连续极值之间的时间间隔序列,即心率加速或减速的持续时间。我们在平稳独立变量模型中计算这些间隔的长度分布及其平均值,其中它们与变量的分布无关。我们使用平均长度作为判别统计量来比较应激和恢复阶段。对14名健康受试者的心跳序列进行的数据分析显示,应激和恢复之间存在显著差异。

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