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Toward Capturing Momentary Changes of Heart Rate Variability by a Dynamic Analysis Method

机译:动态分析方法捕捉心率变异性的瞬时变化

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摘要

The analysis of heart rate variability (HRV) has been performed on long-term electrocardiography (ECG) recordings (12~24 hours) and short-term recordings (2~5 minutes), which may not capture momentary change of HRV. In this study, we present a new method to analyze the momentary HRV (mHRV). The ECG recordings were segmented into a series of overlapped HRV analysis windows with a window length of 5 minutes and different time increments. The performance of the proposed method in delineating the dynamics of momentary HRV measurement was evaluated with four commonly used time courses of HRV measures on both synthetic time series and real ECG recordings from human subjects and dogs. Our results showed that a smaller time increment could capture more dynamical information on transient changes. Considering a too short increment such as 10 s would cause the indented time courses of the four measures, a 1-min time increment (4-min overlapping) was suggested in the analysis of mHRV in the study. ECG recordings from human subjects and dogs were used to further assess the effectiveness of the proposed method. The pilot study demonstrated that the proposed analysis of mHRV could provide more accurate assessment of the dynamical changes in cardiac activity than the conventional measures of HRV (without time overlapping). The proposed method may provide an efficient means in delineating the dynamics of momentary HRV and it would be worthy performing more investigations.
机译:心率变异性(HRV)的分析已在长期心电图(ECG)记录(12〜24小时)和短期记录(2〜5分钟)中进行,这可能无法捕获HRV的瞬时变化。在这项研究中,我们提出了一种分析瞬时HRV(mHRV)的新方法。心电图记录被分为一系列重叠的HRV分析窗口,窗口长度为5分钟,时间增量不同。拟议的方法在描绘瞬时HRV测量动力学方面的性能,是根据人类对象和狗的合成时间序列和真实ECG记录,通过四个常用的HRV测量时程来评估的。我们的结果表明,较小的时间增量可以捕获有关瞬态变化的更多动态信息。考虑到太短的增量(例如10 s)会导致这四个量度的时间缩进,因此在研究的mHRV分析中建议以1分钟的时间增量(4分钟的重叠)。来自人类受试者和狗的ECG记录用于进一步评估所提出方法的有效性。初步研究表明,与传统的HRV测量方法(无时间重叠)相比,拟议的mHRV分析可对心脏活动的动态变化提供更准确的评估。所提出的方法可以提供一种描述瞬时HRV动态的有效手段,值得进行更多的研究。

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