Heart rate and ventricular repolarization variabilities interactions modification by microgravity simulation during head-down bed rest test

J. Bolea, P. Laguna, E. Caiani, R. Almeida
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引用次数: 3

Abstract

Features extracted from heart rate variability (HRV) have allowed to classify several cardiac disorders. In this work, the linear relationship between HRV and ventricular repolarization variability is studied as a possible feature for stratifying risk of cardiac arrhythmias under weightlessness conditions. Three VR beat-to-beat indexes extracted from ECG signals as QT, QTp (QRS onset to T wave peak) and Tpe (peak to end of T wave) were measured. ARARX modeling was used to estimate the VR variability fraction driven by HRV. Head down bed rest as microgravity Earth-based test increased the linear dependency of VR variability driven by HRV. Furthermore, in a pairwise comparison between PRE and POST conditions showed significant differences (p-values <; 0.05) for Tpe variability contents. These results evidence a reduced recovery capacity for the Tpe re-polarization variability to restore its linear dependency values to HR in the first moments at the end of BR.
平躺卧床试验中微重力模拟对心率和心室复极变异性相互作用的影响
从心率变异性(HRV)中提取的特征可以对几种心脏疾病进行分类。在这项工作中,研究了HRV和心室复极变异性之间的线性关系,作为失重条件下心律失常风险分层的可能特征。从心电信号中提取3个VR心跳指标,分别为QT、QTp (QRS起效至T波峰值)和Tpe (T波峰值至T波末端)。利用ARARX模型估计HRV驱动的VR变异性分数。头部下床休息作为微重力地面试验增加了由HRV驱动的VR变异性的线性依赖性。此外,在PRE和POST条件的两两比较中显示出显著差异(p值<;0.05)。这些结果表明,在BR结束的最初时刻,类型再极化变异性恢复其与HR的线性依赖值的恢复能力降低。
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