Is Ultra-Short-Term Heart Rate Variability Valid in Non-static Conditions?
Is Ultra-Short-Term Heart Rate Variability Valid in Non-static Conditions?
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DOI：
10.3389/fphys.2021.596060
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发表时间：
2021
影响因子：
4
通讯作者：
Shin H
中科院分区：
文献类型：
--
作者：
Kim JW;Seok HS;Shin H
在移动的医疗保健中，心率变异性（HRV）越来越多地用于动态患者状态。在这种情况下，需要缩短测量时间。本研究旨在验证非静态条件下的超短期HRV。我们在30名受试者中进行了静息、运动期间和运动后恢复期的心电图（ECG）测量，并通过10、30、60、120、180和240-s间期的ECG在时域和频域中分析了超短期HRV，并将这些值与5分钟HRV进行了比较。统计学分析采用零假设检验、Cohen’s d统计量、Pearson’s相关系数、Bland-Altman分析，统计学显著性水平为P < 0.05。超短期心率变异性的可行性和分析所需的最短时间显示出在每种条件下和每种分析方法的差异。如果遵循满足所有统计方法的严格标准，则可以从30 - 240-s长度的ECG导出超短期HRV。然而，在运动后恢复或运动条件下至少需要120 s，甚至在某些变量中无法测量超短期HRV。相比之下，根据仅满足其中一个统计标准所需的宽松标准，超短期HRV分析所需的最短时间为静息状态下10-60 s，运动状态下10-180 s，运动后恢复状态下10-120 s。总之，本研究的结果表明，在动态条件下进行超短时程HRV分析需要较长的测量时间。这表明，现有的超短期HRV的研究结果来自静态条件下不能适用于非静态条件下的日常生活和特定的非静态条件下的标准是必要的。
In mobile healthcare, heart rate variability (HRV) is increasingly being used in dynamic patient states. In this situation, shortening of the measurement time is required. This study aimed to validate ultra-short-term HRV in non-static conditions. We conducted electrocardiogram (ECG) measurements at rest, during exercise, and in the post-exercise recovery period in 30 subjects and analyzed ultra-short-term HRV in time and frequency domains by ECG in 10, 30, 60, 120, 180, and 240-s intervals, and compared the values to the 5-min HRV. For statistical analysis, null hypothesis testing, Cohen’s d statistics, Pearson’s correlation coefficient, and Bland-Altman analysis were used, with a statistical significance level of P < 0.05. The feasibility of ultra-short-term HRV and the minimum time required for analysis showed differences in each condition and for each analysis method. If the strict criteria satisfying all the statistical methods were followed, the ultra-short-term HRV could be derived from a from 30 to 240-s length of ECG. However, at least 120 s was required in the post-exercise recovery or exercise conditions, and even ultra-short-term HRV was not measurable in some variables. In contrast, according to the lenient criteria needed to satisfy only one of the statistical criteria, the minimum time required for ultra-short-term HRV analysis was 10–60 s in the resting condition, 10–180 s in the exercise condition, and 10–120 s in the post-exercise recovery condition. In conclusion, the results of this study showed that a longer measurement time was required for ultra-short-term HRV analysis in dynamic conditions. This suggests that the existing ultra-short-term HRV research results derived from the static condition cannot applied to the non-static conditions of daily life and that a criterion specific to the non-static conditions are necessary.
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DOI：
10.2307/2987937
发表时间：
1983-01-01
期刊：
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES D-THE STATISTICIAN
影响因子：
--
作者：
ALTMAN, DG;BLAND, JM
通讯作者：
BLAND, JM
DOI：
10.1590/s0100-879x2002000800018
发表时间：
2002-08-01
影响因子：
2.3
作者：
Javorka, M.;Zila, I.;Javorka, K.
通讯作者：
Javorka, K.
影响因子：
2.6
作者：
Kannankeril, PJ;Le, FK;Goldberger, JJ
通讯作者：
Goldberger, JJ
影响因子：
4
作者：
Choi A;Shin H
通讯作者：
Shin H
影响因子：
3.9
作者：
Hunt KJ;Saengsuwan J
通讯作者：
Saengsuwan J