Ding Hang, Crozier Stuart, Wilson Stephen
School of Information Technology and Electrical Engineering, University of Queensland, Brisbane 4072, Queensland, Australia.
IEEE Trans Biomed Eng. 2007 Sep;54(9):1590-7. doi: 10.1109/TBME.2007.893495.
A new heart rate variability (HRV) analysis method, quantifying the variation of nonlinear dynamic pattern (VNDP) in heart rate series, is proposed and validated against the age stratified Fantasia database. The method is based on three processes: (1) a recurrence quantification analysis (RQA) to quantify the dynamic patterns, (2) the use of mutual information (MI) and the entropy (EN) to characterize the VNDP, and 3) linear discriminant analysis to exploit the associations within MI and EN measures. Practically, the VNDP method overcomes the nonstationarity problem and exploits the nonstationary properties in HRV analyses. Physiologically, the VNDP reflects the properties of the fundamental short-term HRV dynamic system and the external associations of the system within the autonomous nervous system (ANS). The characteristic probability density peaks portrayed by VNDP plots indicate the quantum-like heart dynamics, which may provide valuable insights into the control of the ANS. The discrimination results of the reduced pattern dynamic range due to aging, from a new perspective, display the reduction in HRV. The significantly improved discriminatory power, compared to conventional RQA analyses, shows that the VNDP analysis can practically quantify the nonstationary nonlinear dynamics for ANS assessments.
提出了一种新的心率变异性（HRV）分析方法，该方法通过量化心率序列中的非线性动态模式（VNDP）变化，并在按年龄分层的Fantasia数据库上进行了验证。该方法基于三个过程：（1）使用递归量化分析（RQA）来量化动态模式；（2）使用互信息（MI）和熵（EN）来表征VNDP；（3）使用线性判别分析来利用MI和EN度量中的关联。实际上，VNDP方法克服了非平稳性问题，并在HRV分析中利用了非平稳特性。从生理角度来看，VNDP反映了基本短期HRV动态系统的特性以及该系统在自主神经系统（ANS）中的外部关联。VNDP图描绘的特征概率密度峰值表明了类似量子的心脏动力学，这可能为深入了解ANS的控制提供有价值的见解。从新的角度来看，由于衰老导致的模式动态范围缩小的判别结果显示了HRV的降低。与传统的RQA分析相比，显著提高的判别能力表明VNDP分析实际上可以量化用于ANS评估的非平稳非线性动力学。
