Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands.
Departments of Psychology and Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania.
Psychophysiology. 2019 Feb;56(2):e13287. doi: 10.1111/psyp.13287. Epub 2018 Oct 25.
Metrics of heart period variability are widely used in the behavioral and biomedical sciences, although somewhat confusingly labeled as heart rate variability (HRV). Despite their wide use, HRV metrics are usually analyzed and interpreted without reference to prevailing levels of cardiac chronotropic state (i.e., mean heart rate or mean heart period). This isolated treatment of HRV metrics is nontrivial. All HRV metrics routinely used in the literature exhibit a known and positive relationship with the mean duration of the interval between two beats (heart period): as the heart period increases, so does its variability. This raises the question of whether HRV metrics should be "corrected" for the mean heart period (or its inverse, the heart rate). Here, we outline biological, quantitative, and interpretive issues engendered by this question. We provide arguments that HRV is neither uniformly nor simply a surrogate for heart period. We also identify knowledge gaps that remain to be satisfactorily addressed with respect to assumptions underlying existing HRV correction approaches. In doing so, we aim to stimulate further progress toward the rigorous use and disciplined interpretation of HRV. We close with provisional guidance on HRV reporting that acknowledges the complex interplay between the mean and variability of the heart period.
心率变异性(HRV)的度量指标广泛应用于行为和生物医学科学领域,但有些混淆的是,它们也被标记为心率变异性(HRV)。尽管这些指标被广泛使用,但通常在没有参考当前心脏变时状态(即平均心率或平均心动周期)的情况下进行分析和解释。这种孤立地处理 HRV 指标是很重要的。文献中常用的所有 HRV 指标都与两次心跳之间间隔的平均持续时间(心动周期)呈已知的正相关关系:随着心动周期的增加,其变异性也随之增加。这就提出了一个问题,即是否应该对 HRV 指标进行“校正”,以反映平均心动周期(或其倒数,心率)。在这里,我们概述了由这个问题引起的生物学、定量和解释性问题。我们提供的论据表明,HRV 既不是均匀的,也不是简单地替代心动周期。我们还确定了与现有 HRV 校正方法相关的假设仍然存在的知识差距,需要得到令人满意的解决。在这样做的过程中,我们旨在促进对 HRV 的严格使用和有纪律的解释的进一步发展。最后,我们提出了关于 HRV 报告的临时指导,承认了心动周期的平均值和变异性之间的复杂相互作用。