Wejer Dorota, Graff Beata, Makowiec Danuta, Budrejko Szymon, Struzik Zbigniew R
University of Gdańsk, Institute of Experimental Physics, 80-308 Gdańsk, ul Wita Stwosza 57, Poland.
Physiol Meas. 2017 May;38(5):819-832. doi: 10.1088/1361-6579/aa64a8. Epub 2017 Mar 6.
The head-up tilt (HUT) test, which provokes transient dynamical alterations in the regulation of cardiovascular system, provides insights into complex organization of this system. Based on signals with heart period intervals (RR-intervals) and/or systolic blood pressure (SBP), differences in the cardiovascular regulation between vasovagal patients (VVS) and the healthy people group (CG) are investigated.
Short-term relations among signal data represented symbolically by three-beat patterns allow to qualify and quantify the complexity of the cardiovascular regulation by Shannon entropy. Four types of patterns: permutation, ordinal, deterministic and dynamical, are used, and different resolutions of signal values in the the symbolization are applied in order to verify how entropy of patterns depends on a way in which values of signals are preprocessed.
At rest, in the physiologically important signal resolution ranges, independently of the type of patterns used in estimates, the complexity of SBP signals in VVS is different from the complexity found in CG. Entropy of VVS is higher than CG what could be interpreted as substantial presence of noisy ingredients in SBP of VVS. After tilting this relation switches. Entropy of CG occurs significantly higher than VVS for SBP signals. In the case of RR-intervals and large resolutions, the complexity after the tilt becomes reduced when compared to the complexity of RR-intervals at rest for both groups. However, in the case of VVS patients this reduction is significantly stronger than in CG.
Our observations about opposite switches in entropy between CG and VVS might support a hypothesis that baroreflex in VVS affects stronger the heart rate because of the inefficient regulation (possibly impaired local vascular tone alternations) of the blood pressure.
头高位倾斜(HUT)试验可引发心血管系统调节的瞬态动态变化,有助于深入了解该系统的复杂组织。基于心率间期(RR间期)和/或收缩压(SBP)信号,研究血管迷走性晕厥患者(VVS)与健康人群(CG)在心血管调节方面的差异。
由三搏模式象征性表示的信号数据之间的短期关系,可通过香农熵对心血管调节的复杂性进行定性和定量分析。使用了四种模式:置换模式、序数模式、确定性模式和动态模式,并在符号化过程中应用了不同的信号值分辨率,以验证模式的熵如何依赖于信号值的预处理方式。
静息状态下,在生理上重要的信号分辨率范围内,无论估计中使用的模式类型如何,VVS患者SBP信号的复杂性与CG患者不同。VVS患者的熵高于CG患者,这可解释为VVS患者SBP中存在大量噪声成分。倾斜后这种关系发生转变。对于SBP信号,CG患者的熵显著高于VVS患者。在RR间期和高分辨率情况下,与两组静息时RR间期的复杂性相比,倾斜后的复杂性降低。然而,对于VVS患者,这种降低比CG患者更为显著。
我们关于CG和VVS患者熵的相反转变的观察结果,可能支持这样一种假设,即由于血压调节效率低下(可能局部血管张力交替受损),VVS患者的压力感受器反射对心率的影响更强。