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Detection of nonlinearity in temporal patterns of ventricular premature beats

机译:在心室过早搏动时颞模式中的非线性检测非线性

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The occurrence of ventricular premature beats (VPBs) is a common ventricular arrhythmia. However, relatively little is known about the temporal pattern of VPB generation. In this study the authors evaluated the temporal pattern of VPB generation by measurement of Lyapunov exponents. Twenty subjects were identified as having more than 3000 VPB's per day. For each patient the authors generated a time series consisting of number of VPBs in each minute of ECG data. They checked for the presence of nonlinearity in these time series using the surrogate data method and found that thirteen of the patients had a significant Lyapunov exponent. VPBs might be generated by chaotic dynamical mechanism in the eleven patients who had a significant positive Lyapunov exponent.
机译:心室过早搏动(VPBS)的发生是一种常见的心室心律失常。然而,关于VPB生成的时间模式,相对较少。在本研究中,作者通过测量Lyapunov指数评估了VPB的时间模式。将二十个受试者确定为每天超过3000 VPB。对于每位患者,作者生成了由ECG数据的每分钟中的VPB数组成的时间序列。他们在这些时间序列中检查了非线性的非线性,使用替代数据方法发现,13名患者有一个重要的Lyapunov指数。 vpbs可能是在具有重要积极的Lyapunov指数的十一患者中的混沌动态机制产生。

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