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
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
相关论文
共 50 条
  • [1] Ordinal Patterns in Heartbeat Time Series: An Approach Using Multiscale Analysis
    Munoz-Guillermo, Maria
    [J]. ENTROPY, 2019, 21 (06)
  • [2] Search for nonlinearity in the heartbeat time series
    DiGarbo, A
    Barbi, M
    Chillemi, S
    Balocchi, R
    Michelassi, C
    Carpeggiani, C
    [J]. CYBERNETICS AND SYSTEMS, 1997, 28 (02) : 177 - 186
  • [3] Estimating correlation exponents of the heartbeat time series
    Cammarota, C
    [J]. INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS, 2000, 10 (06): : 1513 - 1520
  • [4] NEW STATISTICAL APPROACH TO THE ALIGNMENT OF TIME-SERIES
    CLARK, RM
    THOMPSON, R
    [J]. GEOPHYSICAL JOURNAL OF THE ROYAL ASTRONOMICAL SOCIETY, 1979, 58 (03): : 593 - 607
  • [5] A statistical physics approach to data assimilation of time series
    Kauftnan, Miron
    Zurcher, Ulrich
    Sung, Paul
    [J]. 3RD INT CONF ON CYBERNETICS AND INFORMATION TECHNOLOGIES, SYSTEMS, AND APPLICAT/4TH INT CONF ON COMPUTING, COMMUNICATIONS AND CONTROL TECHNOLOGIES, VOL 3, 2006, : 144 - +
  • [6] Practical inverse approach for forecasting nonlinear hydrological time series
    Phoon, KK
    Islam, MN
    Liaw, CY
    Liong, SY
    [J]. JOURNAL OF HYDROLOGIC ENGINEERING, 2002, 7 (02) : 116 - 128
  • [7] Multifractal analysis of heartbeat time series in human races
    Wesfreid, E
    Billat, VL
    Meyer, Y
    [J]. APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS, 2005, 18 (03) : 329 - 335
  • [8] Fractal scaling properties in nonstationary heartbeat time series
    Peng, CK
    Havlin, S
    Stanley, HE
    Goldberger, AL
    [J]. CHAOTIC, FRACTAL, AND NONLINEAR SIGNAL PROCESSING, 1996, 375 : 615 - 627
  • [9] Time reversal, symbolic series and irreversibility of human heartbeat
    Cammarota, Camillo
    Rogora, Enrico
    [J]. CHAOS SOLITONS & FRACTALS, 2007, 32 (05) : 1649 - 1654
  • [10] Short- and long-term statistical properties of heartbeat time-series in healthy and pathological subjects
    Allegrini, P
    Balocchi, R
    Chillemi, S
    Grigolini, P
    Palatella, L
    Raffaelli, G
    [J]. MEDICAL DATA ANALYSIS, PROCEEDINGS, 2002, 2526 : 115 - 126