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Robust Baseline Measurement for Reliable Fetal Heart Rate Evaluation

机译：可靠的胎儿心率评估的稳健基线测量

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摘要

Cardiotocography is a measurement technique widely adopted to assess fetal well-being during both antepartum and intra-partum stages. It consists of two simultaneously acquired time-series: fetal heart rate and uterine activity. Since visual inspection analysis is gravely affected by intraand interobserver variability, recent literature is focusing on automated solutions. In this context, it is essential to provide a robust and accurate estimation of fetal heart rate to prevent from incorrect diagnosis. One of the major challenges is represented by the estimation of FHR baseline. The present paper proposes a novel algorithm capable of accurately estimating the baseline and correctly detecting possible pathological events, like heart rate accelerations or decelerations. In order to provide a thorough metrological characterization of the algorithm performances, we evaluate its accuracy by considering an experimental dataset.
机译：心动描记法是一种被广泛采用的测量技术，可用于评估产前和产中两个阶段的胎儿健康状况。它由两个同时获取的时间序列组成：胎儿心率和子宫活动。由于视觉检查分析受到观察者内部和观察者之间的差异的严重影响，因此最近的文献集中在自动化解决方案上。在这种情况下，必须提供可靠而准确的胎儿心率估计值，以防止错误诊断。 FHR基线的估计是主要挑战之一。本文提出了一种新颖的算法，该算法能够准确估计基线并正确检测可能的病理事件，例如心率加速或减速。为了提供算法性能的全面计量表征，我们通过考虑实验数据集来评估其准确性。

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