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首页> 外文期刊>Computers in Biology and Medicine >The degree of heart rate asymmetry is crucial for the validity of the deceleration and acceleration capacity indices of heart rate: A model-based study
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The degree of heart rate asymmetry is crucial for the validity of the deceleration and acceleration capacity indices of heart rate: A model-based study

机译:心率不对称程度对于心率减速和加速能力指标的有效性至关重要:基于模型的研究

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The deceleration capacity (DC) and acceleration capacity (AC) of heart rate are a pair of indices used for evaluating the autonomic nervous system (ANS). We assessed the role of heart rate asymmetry (HRA) in defining the relative performance of DC and AC using a mathematical model, which is able to generate a realistic RR interval (RRI) time series with controlled ANS states. The simulation produced a set of RRI series with random sympathetic and vagal activities. The multi-scale DCs and ACs were computed from the RRI series, and the correlation of DC and AC with the ANS functions was analyzed to evaluate the performance of the indices. In the model, the HRA level was modified by changing the inspiration/expiration (ICE) ratio to examine the influence of HRA on the performances of DC and AC. The results show that on the conventional scales (T=1, s=2), an HRA level above 50% results in a stronger association of DC with the ANS, compared with AC. On higher scales (T=4, s=6), there was no HRA and DC showed a similar performance to AC for all I/E ratios. The data suggest that the HRA level determines which of DC or AC is the optimal index for expressing ANS functions. Future clinical applications of DC and AC should be accompanied by an HRA analysis to provide a better index for assessing ANS. (C) 2016 Elsevier Ltd. All rights reserved.
机译:心率的减速能力(DC)和加速能力(AC)是用于评估自主神经系统(ANS)的一对指标。我们使用数学模型评估了心率不对称(HRA)在定义DC和AC相对性能中的作用,该模型能够生成具有受控ANS状态的实际RR间隔(RRI)时间序列。模拟产生了一组具有随机交感和迷走神经活动的RRI系列。从RRI序列计算出多尺度DC和AC,分析了DC和AC与ANS函数的相关性,以评估指标的性能。在模型中,通过更改吸气/呼气(ICE)比率来修改HRA水平,以检查HRA对DC和AC性能的影响。结果表明,与AC相比,在常规量表(T = 1,s = 2)上,HRA高于50%导致DC与ANS的关联更强。在更高的尺度上(T = 4,s = 6),在所有I / E比率下,没有HRA和DC表现出与AC类似的性能。数据表明,HRA水平决定了直流或交流中哪一个是表达ANS功能的最佳指标。 DC和AC的未来临床应用应伴随HRA分析,以提供评估ANS的更好指标。 (C)2016 Elsevier Ltd.保留所有权利。

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