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首页> 外文期刊>Biomedical signal processing and control >Complexity quantification of signals from the heart, the macrocirculation and the microcirculation through a multiscale entropy analysis
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Complexity quantification of signals from the heart, the macrocirculation and the microcirculation through a multiscale entropy analysis

机译：通过多尺度熵分析对来自心脏，大循环和微循环的信号进行复杂性量化

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摘要

Quantifying and modelling the cardiovascular system (CVS) represent a challenge to improve our understanding of the CVS. To describe and quantify the CVS, several physiological signals have been analyzed through various signal processing methods. Recently, a quantitative descriptor - the multiscale entropy (MSE) - has been proposed to quantify time series complexity (i.e. the degree of regularity of signal fluctuations) over multiple time scales. Heart rate variability (HRV) signals (i.e. data from the heart) have largely been studied through MSE. By contrast, complexities of signals from the macrocirculation (i.e. elastic and muscular arteries) and the microcirculation (i.e. arterioles and capillaries), two other main components of the CVS, have rarely been investigated simultaneously with MSE. We therefore propose to quantify and compare complexity of signals from these three CVS subsystems: the heart, the macrocirculation and the microcirculation, using MSE. Electrocardiograms, electrical bio-impedance signals (macrocirculation), as well as laser Doppler flowmetry (LDF) signals from finger and forearm (microcirculation) have been recorded simultaneously in nine healthy subjects. The MSE values from these data have been computed and compared. We note a significant lower complexity on scales τ-1,2 and 3 (i.e. around 1.08 Hz, 0.54 Hz and 0.36 Hz respectively) for LDF signals from the finger compared to the ones of signals from the heart and the macrocirculation. On scale τ-5 (i.e. 0.21 Hz), complexity value of signals from the macrocirculation is significantly lower than the ones of HRV and data from the microvascular blood flow in forearm. The three CVS subsystems present different complexity values depending on scales. It could now be of interest to investigate if these complexity differences are due to physiological activities. Moreover, our results could be compared with those obtained from data recorded on patients with vascular diseases.
机译：对心血管系统（CVS）进行量化和建模是提高我们对CVS理解的挑战。为了描述和量化CVS，已经通过各种信号处理方法分析了几种生理信号。最近，已经提出了一种定量描述符-多尺度熵（MSE）-来量化多个时间尺度上的时间序列复杂度（即信号波动的规律性程度）。通过MSE对心率变异性（HRV）信号（即来自心脏的数据）进行了大量研究。相比之下，CVS的其他两个主要组成部分，即大循环（即弹性和肌肉动脉）和微循环（即小动脉和毛细血管）发出的信号的复杂性很少与MSE同时研究。因此，我们建议使用MSE量化和比较来自这三个CVS子系统（心脏，大循环和微循环）的信号的复杂性。在9名健康受试者中，同时记录了来自手指和前臂的心电图，生物阻抗电信号（微循环）以及激光多普勒血流仪（LDF）信号。来自这些数据的MSE值已经过计算和比较。我们注意到，与来自心脏和大循环的信号相比，来自手指的LDF信号在比例τ-1,2和3（即分别为1.08 Hz，0.54 Hz和0.36 Hz）上具有显着较低的复杂性。在τ-5级（即0.21 Hz）上，来自大循环的信号的复杂度值明显低于HRV和来自前臂微血管血流的数据的复杂度值。三个CVS子系统根据规模呈现不同的复杂度值。现在可能有必要研究这些复杂性差异是否是由于生理活动引起的。此外，我们的结果可以与从血管疾病患者记录的数据中获得的结果进行比较。

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  • 来源
    《Biomedical signal processing and control》 |2013年第4期|341-345|共5页
  • 作者

    Emmanuelle Guerreschi; Anne Humeau-Heurtier; Guillaume Mahe; Mathieu Collette; Georges Leftheriotis;

  • 作者单位

    L'UNAM Universite, Groupe esaip, 18 rue du 8 mai 1945, BP 80022,49180 Saint Barthelemy d'Anjou cedex, France,L'UNAM Universite, Laboratoire d'Ingenierie des Systemes Automatises (LISA), Universite d'Angers, 62 avenue Notre Dame du Lac, 49000 Angers, France;

    L'UNAM Universite, Laboratoire d'Ingenierie des Systemes Automatises (LISA), Universite d'Angers, 62 avenue Notre Dame du Lac, 49000 Angers, France;

    L'UNAM Universite, Laboratoire de Physiologie et d'Explorations Vasculaires, UMR CNRS 6214-INSERM U1083, Centre Hospitalier Universitaire d'Angers, 4 rue Larrey, 49933 Angers cedex 9, France;

    L'UNAM Universite, Groupe esaip, 18 rue du 8 mai 1945, BP 80022,49180 Saint Barthelemy d'Anjou cedex, France,L'UNAM Universite, Laboratoire d'Ingenierie des Systemes Automatises (LISA), Universite d'Angers, 62 avenue Notre Dame du Lac, 49000 Angers, France;

    L'UNAM Universite, Laboratoire de Physiologie et d'Explorations Vasculaires, UMR CNRS 6214-INSERM U1083, Centre Hospitalier Universitaire d'Angers, 4 rue Larrey, 49933 Angers cedex 9, France;

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  • 正文语种 eng
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  • 关键词

    Multiscale entropy; Heart rate variability; Bio-impedancemetry; Laser Doppler flowmetry;

    机译：多尺度熵心率变异性;生物阻抗法;激光多普勒血流仪;

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