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Prognostic Decision Support Using Symbolic Dynamics in CTG Monitoring

机译：CTG监测中使用符号动力学的预测决策支持

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Foetal heart rate variability is one of the most important parameters to monitor foetal wellbeing. Linear parameters, widely employed to study foetal heart variability, have shown some limitations in highlight dynamics potentially relevant. During the last decades, therefore, nonlinear analysis methods have gained a growing interest to analyze the chaotic nature of cardiac activity. Parameters derived by techniques investigating nonlinear can be included in computerised systems of cardiotocographic monitoring. In this work, we described an application of symbolic dynamics to analyze foetal heart rate variability in healthy foetuses and a concise index, introduced for its classification in antepartum CTG monitoring. The introduced index demonstrated to be capable to highlight differences in heart rate variability and resulted correlated with the Apgar score at birth, in particular, higher variability indexes values are associated to early greater vitality at birth. These preliminary results confirm that SD can be a helpful tool in CTG monitoring, supporting medical decisions in order to assure the maximum well-being of newborns.
机译：胎儿心率变异性是监测胎儿健康状况的最重要参数之一。广泛用于研究胎儿心脏变异性的线性参数在突出相关的动态动力学方面显示出一些局限性。因此，在过去的几十年中，非线性分析方法越来越引起人们对分析心脏活动的混沌性质的兴趣。通过研究非线性技术获得的参数可以包含在心动图监测计算机系统中。在这项工作中，我们描述了符号动力学在健康胎儿中分析胎儿心率变异性和简明指标的应用，并介绍了其在产前CTG监测中的分类。引入的指数证明能够突出心率变异性的差异，并导致其与出生时的Apgar得分相关，特别是，较高的变异性指数值与出生时的早期活力相关。这些初步结果证实，SD可以作为CTG监测的有用工具，支持医疗决策，以确保新生儿的最大健康。

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