Poincaré plot analysis of autocorrelation function of RR intervals in patients with acute myocardial infarction

被引:0
作者
Shin-Shin Chuang
Kung-Tai Wu
Chen-Yang Lin
Steven Lee
Gau-Yang Chen
Cheng-Deng Kuo
机构
[1] Taipei Veterans General Hospital,Laboratory of Biophysics, Department of Medical Research
[2] National Yang-Ming University,Institute of Biomedical Engineering
[3] Ten-Chen General Hospital,Department of Internal Medicine
来源
Journal of Clinical Monitoring and Computing | 2014年 / 28卷
关键词
Autocorrelation function; Autonomic nervous system; Heart rate variability; Myocardial infarction; Poincaré plot;
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中图分类号
学科分类号
摘要
The Poincaré plot of RR intervals (RRI) is obtained by plotting RRIn+1 against RRIn. The Pearson correlation coefficient (ρRRI), slope (SRRI), Y-intercept (YRRI), standard deviation of instantaneous beat-to-beat RRI variability (SD1RR), and standard deviation of continuous long-term RRI variability (SD2RR) can be defined to characterize the plot. Similarly, the Poincaré plot of autocorrelation function (ACF) of RRI can be obtained by plotting ACFk+1 against ACFk. The corresponding Pearson correlation coefficient (ρACF), slope (SACF), Y-intercept (YACF), SD1ACF, and SD2ACF can be defined similarly to characterize the plot. By comparing the indices of Poincaré plots of RRI and ACF between patients with acute myocardial infarction (AMI) and patients with patent coronary artery (PCA), we found that the ρACF and SACF were significantly larger, whereas the RMSSDACF/SDACF and SD1ACF/SD2ACF were significantly smaller in AMI patients. The ρACF and SACF correlated significantly and negatively with normalized high-frequency power (nHFP), and significantly and positively with normalized very low-frequency power (nVLFP) of heart rate variability in both groups of patients. On the contrary, the RMSSDACF/SDACF and SD1ACF/SD2ACF correlated significantly and positively with nHFP, and significantly and negatively with nVLFP and low-/high-frequency power ratio (LHR) in both groups of patients. We concluded that the ρACF, SACF, RMSSDACF/SDACF, and SD1ACF/SD2ACF, among many other indices of ACF Poincaré plot, can be used to differentiate between patients with AMI and patients with PCA, and that the increase in ρACF and SACF and the decrease in RMSSDACF/SDACF and SD1ACF/SD2ACF suggest an increased sympathetic and decreased vagal modulations in both groups of patients.
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页码:387 / 401
页数:14
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共 140 条
  • [31] Infante O(1991)Is the normal heartbeat chaotic or homeostatic? Physiology 6 87-91
  • [32] Perez-Grovas H(2005)Filtering Poincaré plots Comput Meth Sci Tech 11 39-48
  • [33] Jose MV(2010)Dynamic decomposition of Poincaré plots for multivariate analysis and visualization of simultaneously recorded physiological time series Comput Meth Sci Tech 16 181-186
  • [34] Woo MA(2012)A method for analyzing temporal patterns of variability of a time series from Poincaré plots J Appl Physiol 113 297-306
  • [35] Stevenson WG(2012)Heart rate asymmetry follows the inspiration/expiration ratio in healthy volunteers Physiol Meas 33 1717-1731
  • [36] Moser DK(2012)Investigating the changes in heart rate asymmetry (HRA) with perturbation of parasympathetic nervous system Australas Phys Eng Sci Med 35 465-474
  • [37] Middlekauff HR(undefined)undefined undefined undefined undefined-undefined
  • [38] Woo MA(undefined)undefined undefined undefined undefined-undefined
  • [39] Stevenson WG(undefined)undefined undefined undefined undefined-undefined
  • [40] Moser DK(undefined)undefined undefined undefined undefined-undefined