跑步机跑步过程中心率变异性的时间依赖性

IF 3.2 Q2 AUTOMATION & CONTROL SYSTEMS Systems Science & Control Engineering Pub Date : 2022-04-26 DOI:10.1080/21642583.2022.2068166
Lars Brockmann, Hanjie Wang, K. Hunt
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引用次数: 1

摘要

为了研究跑步机跑步过程中心率变异性(HRV)的时间依赖性,实施了反馈控制回路,以消除心血管漂移的潜在混杂影响。在没有心血管漂移的情况下,观察到的HRV变化可以直接归因于时间,而不是漂移相关的心率增加。为了量化HRV的时间依赖性,计算并比较了相等持续时间(12.5分钟)的两个连续窗口的标准HRV指标。包括八名参与者。结果指标总体上呈下降趋势。10个HRV指标中有7个显著降低(p<0.05);三个HRV指标显示出随着时间的推移而下降的适度证据,即平均控制能力(p = 0.053)、RR信号的极低频功率(VLF)(p = 0.072)和RR信号的低频功率(LF)(p = 0.12)。总之,这些结果提供了在跑步机跑步期间HRV随时间降低的证据;随着心血管漂移的消除,心率反馈控制的应用是重要的。需要进一步的工作来优化实验设计,并使用更大的样本量来提高结果的统计能力。
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Time dependence of heart rate variability during treadmill running
To investigate the time dependence of the heart rate variability (HRV) during treadmill running, a feedback control loop was implemented to eliminate the potentially confounding influence of cardiovascular drift. Without cardiovascular drift, observed changes in HRV can be directly attributed to time only and not to drift-related increases in heart rate. To quantify the time-dependence of HRV, standard HRV metrics for two consecutive windows of equal duration (12.5 min) were computed and compared. Eight participants were included. The outcome measures showed an overall tendency to decrease over time. Seven of the 10 HRV metrics were significantly lower (p<0.05); three HRV metrics showed moderate evidence of decrease over time, viz. average control power (p = 0.053), very-low frequency power (VLF) of the RR-signal (p = 0.072) and low frequency power (LF) of the RR-signal (p = 0.12). Taken together, these results provide evidence of a decrease in HRV over time during treadmill running; the employment of feedback control of heart rate is important as cardiovascular drift was eliminated. Further work is required to optimize the experimental design and to use a larger sample size to improve the statistical power of the results.
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来源期刊
Systems Science & Control Engineering
Systems Science & Control Engineering AUTOMATION & CONTROL SYSTEMS-
CiteScore
9.50
自引率
2.40%
发文量
70
审稿时长
29 weeks
期刊介绍: Systems Science & Control Engineering is a world-leading fully open access journal covering all areas of theoretical and applied systems science and control engineering. The journal encourages the submission of original articles, reviews and short communications in areas including, but not limited to: · artificial intelligence · complex systems · complex networks · control theory · control applications · cybernetics · dynamical systems theory · operations research · systems biology · systems dynamics · systems ecology · systems engineering · systems psychology · systems theory
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