Merati Giampiero, Di Rienzo Marco, Parati Gianfranco, Veicsteinas Arsenio, Castiglioni Paolo
Institute of Physical Exercise, Health and Sports (IEFSAS), University of Milan, Italy.
IEEE Trans Biomed Eng. 2006 Jan;53(1):43-52. doi: 10.1109/TBME.2005.859786.
We investigated how complexity-based estimators of heart rate variability can detect changes in cardiovascular autonomic drive with respect to traditional measures of variability. This was done by analyzing healthy subjects and paraplegic patients with different autonomic impairment due to low (vascular impairment only) or high (cardiac and vascular impairment) spinal cord injury, during progressive autonomic activations. While traditional techniques only quantified the effects of the autonomic activation, not distinguishing the effects of the lesion level, some recently proposed complexity estimators could also reveal the pathologic alterations in the autonomic control of heart rate. These estimators included the detrended fluctuation analysis coefficient (sensitive to both low and high autonomic lesions), sample entropy (sensitive to low-level lesions) and the largest Lyapunov exponent (sensitive to high-level lesions). Thus complexity-based methods provide information on the autonomic function from the heart rate dynamics that cannot be obtained by traditional techniques. This finding supports the combined use of both complexity-based and traditional methods to investigate the autonomic cardiovascular control from a more comprehensive perspective.
我们研究了基于复杂性的心率变异性估计器相对于传统变异性测量方法，如何检测心血管自主神经驱动的变化。这是通过分析健康受试者以及因低（仅血管损伤）或高（心脏和血管损伤）脊髓损伤而具有不同自主神经损伤的截瘫患者，在进行性自主神经激活过程中来完成的。虽然传统技术仅量化了自主神经激活的影响，而没有区分损伤水平的影响，但一些最近提出的复杂性估计器还可以揭示心率自主控制中的病理改变。这些估计器包括去趋势波动分析系数（对低和高自主神经损伤均敏感）、样本熵（对低水平损伤敏感）和最大Lyapunov指数（对高水平损伤敏感）。因此，基于复杂性的方法从心率动态中提供了传统技术无法获得的关于自主神经功能的信息。这一发现支持结合使用基于复杂性的方法和传统方法，从更全面的角度研究自主神经心血管控制。
