Inverse statistical approach in heartbeat time series

被引：9
|
作者：
Ebadi, H. [1 ,2 ]
Shirazi, A. H. [3 ,4 ]
Mani, Ali R. [5 ,6 ]
Jafari, G. R. [2 ,3 ]
机构：
[1] Alzahra Univ, Dept Phys, Tehran, Iran
[2] Shahid Beheshti Univ, Dept Phys, GC, Tehran 19839, Iran
[3] Inst Res Fundamental Sci IPM, Computat Phys Sci Res Lab, Sch Nanosci, Tehran, Iran
[4] Univ Tehran Med Sci, INRP, Tehran, Iran
[5] Tarbiat Modares Univ, Dept Physiol, Sch Med, Tehran, Iran
[6] UCL, Ctr Hepatol, UCL Med Sch, London, England
来源：
JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT | 2011年
关键词：
systems biology; SCALING BEHAVIOR; RATE-VARIABILITY; TURBULENCE; DYNAMICS; MARKETS;
D O I：
10.1088/1742-5468/2011/08/P08014
中图分类号：
O3 [力学];
学科分类号：
08 ; 0801 ;
摘要：
We present an investigation on heart cycle time series, using inverse statistical analysis, a concept borrowed from studying turbulence. Using this approach, we studied the distribution of the exit times needed to achieve a predefined level of heart rate alteration. Such analysis uncovers the most likely waiting time needed to reach a certain change in the rate of heart beat. This analysis showed a significant difference between the raw data and shuffled data, when the heart rate accelerates or decelerates to a rare event. We also report that inverse statistical analysis can distinguish between the electrocardiograms taken from healthy volunteers and patients with heart failure.
引用
收藏
页数：10
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