Using nonlinear features for fetal heart rate classification
Using nonlinear features for fetal heart rate classification
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DOI：
10.1016/j.bspc.2011.06.008
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发表时间：
2012-07-01
影响因子：
5.1
通讯作者：
Stylios, C.
中科院分区：
文献类型：
--
作者：
Spilka, J.;Chudacek, V.;Stylios, C.
* 我们分析了正常和酸血症胎儿的胎心率。* 我们使用传统的和非线性的信号分析功能。* 非线性特征的添加提高了分类的准确性。* 最好的非线性特征是：Lempel Ziv复杂度和样本熵。* 传统和非线性特征的结合提供了最佳的accuracy.翻译后摘要：胎儿心率（FHR）是用来评估胎儿的福祉，使临床医生能够检测到正在进行的缺氧在分娩过程中。产时胎心率的常规临床评价是基于肉眼可见的宏观形态学特征。在本文中，我们评估了传统的功能，并将其与非线性的分娩时胎心率分类的任务。使用具有客观注释（即pH测量）的217个FUR记录的数据库进行实验。我们已经证明，非线性特征的加入提高了分类的准确性。最好的分类结果是使用传统和非线性特征的组合，灵敏度为73.4%，特异性为76.3%，F-测量为71.9%。最佳选择的非线性特征是：Lempel Ziv复杂度，样本熵，和分形维数Higuchi方法估计。由于自动信号评估的结果易于重现，因此FHR评估的过程可以变得更加客观，并且可以使临床医生专注于在分娩期间影响胎儿的其他非心脏宫缩图参数。(C)2011爱思唯尔有限公司保留所有权利。
* We analyzed fetal heart rate of normal and acidemic fetuses. * We used conventional and nonlinear features for the signal analysis. * Addition of nonlinear features improves accuracy of classification. * The best nonlinear features are: Lempel Ziv complexity and Sample entropy. * Combination of conventional and nonlinear features provides the best accuracy.Abstract: Fetal heart rate (FHR) is used to evaluate fetal well-being and enables clinicians to detect ongoing hypoxia during delivery. Routine clinical evaluation of intrapartum FHR is based on macroscopic morphological features visible to the naked eye. In this paper we evaluated conventional features and compared them to the nonlinear ones in the task of intrapartum FHR classification. The experiments were performed using a database of 217 FUR records with objective annotations, i.e. pH measurement. We have proven that the addition of nonlinear features improves accuracy of classification. The best classification results were achieved using a combination of conventional and nonlinear features with sensitivity of 73.4%, specificity of 76.3%, and F-measure of 71.9%. The best selected nonlinear features were: Lempel Ziv complexity, Sample entropy, and fractal dimension estimated by Higuchi method. Since the results of automatic signal evaluation are easily reproducible, the process of FHR evaluation can become more objective and may enable clinicians to focus on additional non-cardiotocography parameters influencing the fetus during delivery. (C) 2011 Elsevier Ltd. All rights reserved.