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Fetal heart rate pattern in prenatal diagnosis - fetal autonomic brain age score

机译：胎儿心率模式在产前诊断中的作用-胎儿自主神经年龄评分

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Fetal heart rate patterns provide valuable information about normal fetal maturation. For heart rate variability (HRV) analysis to be successful in prenatal diagnosis the selection of appropriate HRV indices is required. Those indices were organized according to universal principles of developmental biology. Key characteristics of evolution and self-organization are increasing fluctuation amplitude, increasing complexity and pattern formation. Related HRV indices were used to propose a fetal autonomic brain age score (fABAS). We estimated fABAS from magnetocardiographic recordings (21.4–40.3 weeks of gestation) preclassified in quiet (n=113, 63 females) and active sleep (n=286, 145 females) by cross-validated multivariate linear regression models in a cross-sectional study. fABAS explained 66/63% (training / validation set) of the variance by age in quiet and 51/50% in active sleep. We conclude that functional autonomic brain age can be assessed based on universal developmental indices obtained from fetal heart rate patterns.

机译：胎儿心率模式可提供有关正常胎儿成熟的有价值的信息。为了在产前诊断中成功进行心率变异性（HRV）分析，需要选择合适的HRV指数。这些指数是根据发育生物学的普遍原则组织的。进化和自组织的关键特征是波动幅度增加，复杂性增加和模式形成。相关的HRV指数用于提出胎儿自主神经年龄评分（fABAS）。我们通过横断面研究中的交叉验证多元线性回归模型，根据在安静（n = 113，63位女性）和活跃睡眠（n = 286，145位女性）中预先分类的心电图记录（妊娠21.4–40.3周）估计了fABAS。。在安静时，fABAS解释了年龄差异的66/63％（训练/验证集），在积极睡眠中，fABAS解释了51/50％。我们得出结论，可以根据从胎儿心率模式获得的普遍发展指数来评估功能性自主神经年龄。

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《Computing in Cardiology Conference》|2013年|81-84|共4页
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Hoyer Dirk; Schneider Uwe;
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Fetal heart rate pattern in prenatal diagnosis - fetal autonomic brain age score

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