The Medical Device Research Institute, Flinders University, GPO Box 2100, Adelaide, SA, 5001, Australia,
J Clin Monit Comput. 2013 Oct;27(5):569-76. doi: 10.1007/s10877-013-9471-4. Epub 2013 May 15.
Heart rate variability (HRV) analysis over very short (<60 s) periods may be useful for monitoring dynamic changes in autonomic nervous system activity where steady-state conditions are not maintained (e.g. during drug administration, or the start or end of exercise). From the 1980s there has been a wealth of HRV indices produced in the quest for better measures of the change in parasympathetic and sympathetic activity. Many of the indices have been sparingly used and have not been investigated for application to short-term use. This study surveyed published methods of HRV analysis searching for indices that could be applied to very short time HRV analysis. The survey included measures of time domain, frequency domain, respiratory sinus arrhythmia, Poincaré plot, and heart rate characteristics. Indices were tested with short segments of archived data to remove those that produced invalid results, or were mathematically equivalent to, but less well known than other indices. The survey identified a comprehensive list of 115 indices that were subsequently coded and screened. Of these, 70 were unique and produced a finite number with 60 s data, so are included in the Toolbox. These indices require validation against physiological data before they can be applied to short-term HRV analysis of cardiac autonomic nervous system activity.
心率变异性（HRV）分析在极短（<60s）时间内可能有助于监测自主神经系统活动的动态变化，而这些变化不能保持稳定状态（例如，在药物给药期间，或运动的开始或结束时）。从 20 世纪 80 年代以来，已经产生了大量的 HRV 指数，以寻求更好的测量副交感神经和交感神经活动变化的方法。其中许多指数使用较少，并且没有研究其在短期使用中的应用。本研究调查了 HRV 分析的已发表方法，寻找可应用于极短时间 HRV 分析的指数。该调查包括时域、频域、呼吸窦性心律失常、庞加莱图和心率特征的测量。用存档数据的短片段测试指数，以去除那些产生无效结果的指数，或与其他指数在数学上等效但不太为人知的指数。该调查确定了一个全面的 115 个指数列表，随后对这些指数进行了编码和筛选。其中，70 个是独特的，并且用 60s 数据产生了有限数量的指数，因此包含在工具箱中。这些指数需要经过生理数据的验证，才能应用于短期心率变异性分析心脏自主神经系统活动。
