连续短期间隔内心率变异性的频谱功率分布

Spectral Power Distribution of Heart Rate Variability in Contiguous Short-Term Intervals.

作者信息

Mayrovitz Harvey N

机构信息

Medical Education, Nova Southeastern University Dr. Kiran C. Patel College of Allopathic Medicine, Davie, USA.

出版信息

Cureus. 2024 Aug 19;16(8):e67221. doi: 10.7759/cureus.67221. eCollection 2024 Aug.

Abstract

INTRODUCTION

Heart rate variability (HRV) is determined by the variation of consecutive cardiac electrical excitations, usually from RR intervals of an EKG. The sequence of intervals is a time series that yields three HRV parameter categories: time domain, frequency domain, and nonlinear. Parameter estimates are based on widely different EKG sample times: short-term (~5-10 minutes), longer (24 hours), and ultra-short (<5 minutes). Five-minute intervals are useful to evaluate intervention effects that change HRV in a single session by comparing pre-to-post values. This approach relies on knowing the minimal detectible change (MDC) that indicates a real change in clinical and research studies. The specific aims of this pilot study were to (1) evaluate HRV power and its spectral distribution among contiguous five-minute intervals, (2) compare the power distribution in a five-minute interval with a full 45-minute assessment, and (3) provide data to aid estimation of the MDC between pre- and post-interventions during a single session.  Methods: Twelve self-reported healthy young adults participated after signing an approved consent. Participation required subjects who had no history of cardiovascular disease or were taking vasoactive substances. Persons with diabetes were not eligible. While subjects were supine, EKG leads were placed, and EKG was recorded for 45 minutes at 1000 samples/sec. The 45 minutes were divided into nine five-minute contiguous intervals, and the spectral density in each was determined. Total power and spectral percentages within each interval were assessed in the very low (VLF, 0.003-0.04 Hz), low (LF, 0.04-0.15 Hz), and high (HF, 0.15-0.4 Hz) frequency bands. These were compared among intervals and to the full 45-minute sample. The MDC was determined by comparing powers in five-minute intervals separated by 10 minutes. The standard error of the measurement (SEME) for each pair was calculated from the square root of the mean square error (√MSE). MSE was based on a two-factor analysis of variance, and MDC was 2×√2×SEME.

RESULTS

Differences in total power and spectral power distribution among intervals were not statistically significant. The total mean power±SD was 4561±1434 ms². The maximum difference in total power was 7.85%. The mean power for the VLF, LF, and HF bands was respectively 1713±1736 ms², 1574±1072 ms², and 1257±1016 ms². The maximum percentage difference in spectral power across all intervals for VLF, LF, and HF was respectively 3.75%, 8.5%, and 7.4%. The percentage of power in the VLF, LF, and HF bands was respectively 37.9%, 36.1%, and 25.9%. The ratios of spectral to total power for VLF, LF, and HF bands were respectively 0.80±0.07, 1.20±0.11, and 1.22±0.10. MDC percentage values were 21.0±4.9% for the HF band, 25.7±1.4% for the LF band, and 30.4±5.5% for the VLF band.

CONCLUSION

Results offer initial estimates of variations in HRV power in the VLF, LF, and HF bands in contiguous five-minute intervals and estimates of the minimum detectible "real" changes between intervals separated by 10 minutes. The pattern of variation and data are useful in experimental planning in which HRV spectral power changes are assessed subsequent to a short-duration intervention during a single session. MDC values (21.0% in the HF band to 30.4% in the VLF band) provide initial estimates useful for estimating the number of participants needed to evaluate the impact of an intervention on spectral components of HRV.

摘要

引言

心率变异性(HRV)由连续心脏电激动的变化决定,通常源于心电图的RR间期。间期序列是一个时间序列,可产生三类HRV参数:时域、频域和非线性参数。参数估计基于差异很大的心电图采样时间:短期(约5 - 10分钟)、较长(24小时)和超短期(<5分钟)。五分钟间期有助于通过比较干预前后的值来评估单次会话中改变HRV的干预效果。这种方法依赖于了解最小可检测变化(MDC),它在临床和研究中表明真实变化。本试点研究的具体目的是:(1)评估相邻五分钟间期内的HRV功率及其频谱分布;(2)将五分钟间期内的功率分布与完整的45分钟评估进行比较;(3)提供数据以帮助估计单次会话中干预前后的MDC。

方法

12名自我报告健康的年轻成年人在签署批准的知情同意书后参与研究。参与要求受试者无心血管疾病史且未服用血管活性物质。糖尿病患者不符合条件。受试者仰卧时放置心电图导联,并以1000样本/秒的速度记录45分钟的心电图。45分钟被分为九个连续的五分钟间期,并确定每个间期的频谱密度。评估每个间期内极低频(VLF,0.003 - 0.04 Hz)、低频(LF, 0.04 - 0.15 Hz)和高频(HF, 0.15 - 0.4 Hz)频段的总功率和频谱百分比。将这些在各间期之间以及与完整的45分钟样本进行比较。通过比较间隔10分钟的五分钟间期内的功率来确定MDC。每对的测量标准误(SEME)由均方误差的平方根(√MSE)计算得出。MSE基于双因素方差分析,MDC为2×√2×SEME。

结果

各间期之间的总功率和频谱功率分布差异无统计学意义。总平均功率±标准差为4561±1434 ms²。总功率的最大差异为7.85%。VLF、LF和HF频段的平均功率分别为1713±1736 ms²、1574±1072 ms²和1257±1016 ms²。VLF、LF和HF在所有间期内频谱功率的最大百分比差异分别为3.75%、8.5%和7.4%。VLF.LF和HF频段的功率百分比分别为37.9%、36.1%和25.9%。VLF、LF和HF频段的频谱功率与总功率之比分别为0.80±0.07、1.20±0.11和1.22±0.10。HF频段的MDC百分比值为21.0±4.9%,LF频段为25.7±1.4%,VLF频段为30.4±5.5%。

结论

研究结果提供了相邻五分钟间期内VLF、LF和HF频段HRV功率变化的初步估计,以及间隔10分钟的间期之间最小可检测“真实”变化的估计。变化模式和数据有助于单次会话中短期干预后评估HRV频谱功率变化的实验规划。MDC值(HF频段为21.0%至VLF频段为30.4%)提供了初步估计,有助于估计评估干预对HRV频谱成分影响所需的参与者数量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b3f0/11410424/3145a991c0e8/cureus-0016-00000067221-i01.jpg

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