Goshvarpour Atefeh, Goshvarpour Ateke
Computational Neuroscience Laboratory, Department of Biomedical Engineering, Faculty of Electrical Engineering, Sahand University of Technology, Tabriz, Iran.
Biomed J. 2015 May-Jun;38(3):229-34. doi: 10.4103/2319-4170.143528.
Poincare plots are commonly used to study the nonlinear behavior of physiologic signals. The aim of this study is to evaluate the Poincare plot indices of human heart rate signals during meditation.
For this purpose, heart rate time series of eight Chi meditators available in Physionet database were used. Poincare plots with lags of 1 and 6 were constructed, and the ratio of the minor axis to major axis (SD1/SD2) and the area of Poincare plots were calculated for each lag.
The results show that the SD1/SD2 ratio increased significantly during meditation compared to that before meditation, especially the index measured from Poincare plots reconstructed with a lag of 6 (p < 0.05). In addition, in both lags, the area of Poincare plots decreased significantly during meditation compared to before meditation (p < 0.05).
The comparative dynamic measures of the Poincare plot indices during and before meditation give more insight of the heart rate signals in a specific psychophysiological state.
庞加莱图常用于研究生理信号的非线性行为。本研究的目的是评估冥想期间人体心率信号的庞加莱图指标。
为此,使用了Physionet数据库中八位气冥想者的心率时间序列。构建了滞后为1和6的庞加莱图,并计算了每个滞后的短轴与长轴之比(SD1/SD2)以及庞加莱图的面积。
结果表明,与冥想前相比,冥想期间SD1/SD2比值显著增加,尤其是从滞后为6重建的庞加莱图测量的指标(p < 0.05)。此外,在两个滞后中,与冥想前相比,冥想期间庞加莱图的面积显著减小(p < 0.05)。
冥想期间和之前庞加莱图指标的比较动态测量能更深入了解特定心理生理状态下的心率信号。