Bailón Raquel, Serrano Pedro, Laguna Pablo
Aragon Institute of Engineering Research, University of Zaragoza, Spain.
J Electrocardiol. 2011 Jul-Aug;44(4):445-52. doi: 10.1016/j.jelectrocard.2011.02.001. Epub 2011 Mar 30.
In this study, the influence of the time-varying mean heart rate (HR) and respiratory frequency in the ability of HR variability (HRV) indices to diagnose coronary artery disease has been studied. The autonomic nervous system activity has been assessed using a methodology that comprises correction of the HRV signal by the time-varying mean HR and redefinition of the classical high-frequency band to include respiratory frequencies above 0.4 Hz. The obtained clinical indices discriminate patients with coronary artery disease from patients with Framingham risk index lower than 5% with a moderate accuracy of 76%, which is lower than the reported in literature for HRV indices. We claim that time-varying mean HR and respiratory frequency, if not taken into account, introduce apparent improvement of diagnostic performance of HRV indices, adding information nonrelated to the autonomic nervous system activity, which is not what HRV is supposed to measure.
在本研究中，已对时变平均心率（HR）和呼吸频率对心率变异性（HRV）指数诊断冠状动脉疾病能力的影响进行了研究。自主神经系统活动已使用一种方法进行评估，该方法包括用时变平均心率对HRV信号进行校正，并重新定义经典高频带以纳入高于0.4 Hz的呼吸频率。所获得的临床指数以76%的中等准确度区分冠状动脉疾病患者与弗雷明汉风险指数低于5%的患者，这低于文献中报道的HRV指数的准确度。我们认为，如果不考虑时变平均心率和呼吸频率，会导致HRV指数诊断性能出现明显改善，增加了与自主神经系统活动无关的信息，而这并非HRV应该测量的内容。
