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产时胎儿心率计算机分析:无基线可识别间隔的检测。

Computerized fetal heart rate analysis in labor: detection of intervals with un-assignable baseline.

机构信息

Nuffield Department of Obstetrics & Gynaecology, University of Oxford, Level 3, Women's Centre, John Radcliffe Hospital, Oxford OX3 9DU, UK.

出版信息

Physiol Meas. 2011 Oct;32(10):1549-60. doi: 10.1088/0967-3334/32/10/004. Epub 2011 Aug 24.

DOI:10.1088/0967-3334/32/10/004
PMID:21862845
Abstract

The fetal heart rate (FHR) is monitored during labor to assess fetal health. Both visual and computerized interpretations of the FHR depend on assigning a baseline to detect key features such as accelerations or decelerations. However, it is sometimes impossible to assign a baseline reliably, by eye or by numerical methods. To address this issue, we used the Oxford Intrapartum FHR Database to derive an algorithm based on the distribution of the FHR that detects heart rate intervals without a clear baseline. We aimed to recognize when a fetus cannot maintain its heart rate baseline and use this to assist computerized FHR analysis. Twenty-three FHR windows (15 min long) were used to develop the method. The algorithm was then validated by comparison with experts who classified 50 FHR windows into two groups: baseline assignable or un-assignable. The average agreement between experts (κ = 0.76) was comparable to the agreement between method and experts (κ = 0.67). The algorithm was used in 22 559 patients with intrapartum FHR records to retrospectively determine the incidence of intervals (defined as 15 min windows) that had un-assignable baselines. Sixty-six percent had one or more such episodes at some stage, most commonly after the onset of pushing (55%) and least commonly pre-labor (16%). These episodes are therefore relatively common. Their detection should improve the reliability of computerized analysis and allow further studies of what they signify clinically.

摘要

胎儿心率(FHR)在分娩过程中进行监测,以评估胎儿健康。FHR 的视觉和计算机解释都依赖于分配基线以检测关键特征,如加速或减速。然而,有时通过肉眼或数字方法无法可靠地分配基线。为了解决这个问题,我们使用牛津产时 FHR 数据库来开发一种基于 FHR 分布的算法,该算法可以检测没有明确基线的心率间隔。我们旨在识别胎儿何时无法维持其心率基线,并利用这一点来协助计算机化 FHR 分析。使用 23 个 FHR 窗口(15 分钟长)来开发该方法。然后,通过将 50 个 FHR 窗口与专家分类进行比较来验证该算法,将其分为可分配基线和不可分配基线两组。专家之间的平均一致性(κ=0.76)与方法和专家之间的一致性(κ=0.67)相当。该算法在 22559 名产时 FHR 记录的患者中进行了回顾性分析,以确定不可分配基线的间隔(定义为 15 分钟窗口)的发生率。66%的患者在某个阶段有一个或多个这样的时间段,最常见于开始推挤后(55%),最不常见于产前(16%)。因此,这些时间段比较常见。它们的检测应该提高计算机分析的可靠性,并允许进一步研究它们在临床上的意义。

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