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首页> 外文会议>IEEE-EMBS International Conference on Biomedical and Health Informatics >Spectral and Coherence Analysis of the Variabilities of Heart Rate, Stroke Volume, and Systolic Blood Pressure in Exercise Stress Tests
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Spectral and Coherence Analysis of the Variabilities of Heart Rate, Stroke Volume, and Systolic Blood Pressure in Exercise Stress Tests

机译：运动压力测试中心率，中风体积的变形性的光谱和相干性分析，以及运动压力测试中的收缩压

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Stress-induced changes in the cardiovascular parameters have been found to carry valuable information for predicting cardiovascular diseases (CVD). To investigate the influence of exercise on the cardiovascular system, in this paper, we analyzed the spectral distributions of the variabilities of heart rate (HRV), stroke volume (SVV), and systolic blood pressure (SBPV) for the at-rest, during-exercise and post-exercise conditions, respectively. Coherence spectrums were also calculated to quantify the degree of coupling between these variabilities. The results showed that, the power of HRV, SVV, and SBPV was all concentrated in two bands, i.e., low frequency (LF 0.04-0.15Hz) and high frequency (HF 0.15-0.4Hz). During the exercise, the LF component of HRV decreased slightly while the HF component decreased significantly in most subjects, resulting in an increased LF/HF ratio, which indicated a change in the balance of sympathetic and vagal activities. For SVV, the LF, HF and LF/HF components all increased during exercise. No consistent change patterns were found in SBPV for different individuals. Significant coherences were found in the HF components between these variability signals for the under-rest condition (HRV-SBPV: 0.72±0.25, HRV-SW: 0.50±0.22, SVV-SBPV: 0.54±0.28). By contrast, the coherences of these variability signals in the LF components were insignificant (<0.5) for all the conditions. These phenomena may indicate that HF components in the variability of these variables reflect the influence of some common impact factors while the LF components mainly reflect the different mechanisms of the cardiovascular functions measured by each individual variable.
机译：已发现胁迫诱导的心血管参数的变化携带有价值的信息来预测心血管疾病（CVD）。为了探讨运动对心血管系统对心血管系统的影响，在本文中，我们分析了心率（HRV），中风体积（SVV）和收缩压（SBPV）的可变性的光谱分布，在休息期间 - 锻炼和锻炼后的条件。还计算了相干频谱以量化这些变量之间的耦合程度。结果表明，HRV，SVV和SBPV的功率全部集中在两个带中，即低频（LF 0.04-0.15Hz）和高频（HF 0.15-0.4Hz）。在运动期间，HRV的LF分量略微下降，而HF组分在大多数受试者中显着降低，导致LF / HF比率增加，这表明了交感神经和迷走的平衡的变化。对于SVV，LF，HF和LF / HF组件在运动期间都增加。对于不同的个体，在SBPV中没有发现一致的变化模式。在这些可变性信号之间的HF组件之间发现显着的相干性（HRV-SBPV：0.72±0.25，HRV-SW：0.50±0.22，SVV-SBPV：0.54±0.28）。相比之下，对于所有条件，LF组分中这些可变性信号的相干性是微不足道的（<0.5）。这些现象可以表明这些变量的可变性中的HF分量反映了一些常见影响因子的影响，而LF组分主要反映每个单独变量测量的心血管函数的不同机制。

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