Objective: Preterm birth is the first cause of perinatal morbidity and mortality. Despite continuous clinical routine improvements, the preterm rate remains steady. Moreover, the specificity of the early diagnosis stays poor as many hospitalized women for preterm delivery threat finally deliver at term. In this context, the use of electrohysterograms may increase the sensitivity and the specificity of early diagnosis of preterm labor. Methods: This paper proposes a clinical application of electrohysterogram processing for the classification of patients as prone to deliver within a week or later. The approach relies on non-linear correlation analysis for the contraction bursts extraction and uses computation of various features combined with the use of Gaussian mixture models for their classification. The method is tested on a new dataset of 68 records collected on women hospitalized for preterm delivery threat. Results: This paper presents promising results for the automatic segmentation of the contraction and a classification sensitivity, specificity, and accuracy of, respectively, 80.7%, 76.3%, and 76.2%. Conclusion: These results are in accordance with the gold standards but have the advantage to be non-invasive and could be performed at home. Significance: Diagnosis of imminent labor is possible by electrohysterography recording and may help in avoiding over-medication and in providing better cares to at-risk pregnant women.

中文翻译：

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一种从宫腔电图自动分割和分类即将临产的方法

目的：早产是围产期发病率和死亡率的首要原因。尽管临床常规不断改进，但早产率保持稳定。此外，由于许多因早产威胁住院的妇女最终足月分娩，因此早期诊断的特异性仍然很差。在这种情况下，使用子宫电图可能会增加早产早期诊断的敏感性和特异性。方法：本文提出了一种将宫腔电图处理用于将患者分类为一周或更晚容易分娩的临床应用。该方法依赖于收缩突发提取的非线性相关分析，并使用各种特征的计算结合使用高斯混合模型进行分类。该方法在一个新的数据集上进行了测试，该数据集收集了因早产威胁住院的妇女的 68 条记录。结果：本文提出了收缩自动分割的有希望的结果，分类灵敏度、特异性和准确度分别为 80.7%、76.3% 和 76.2%。结论：这些结果符合黄金标准，但具有非侵入性且可在家中进行的优势。意义：通过宫腔电图记录可以诊断即将临产，可能有助于避免过度用药并为有风险的孕妇提供更好的护理。和准确率分别为 80.7%、76.3% 和 76.2%。结论：这些结果符合黄金标准，但具有非侵入性且可在家中进行的优势。意义：通过宫腔电图记录可以诊断即将临产，可能有助于避免过度用药并为有风险的孕妇提供更好的护理。和准确率分别为 80.7%、76.3% 和 76.2%。结论：这些结果符合黄金标准，但具有非侵入性且可在家中进行的优势。意义：通过宫腔电图记录可以诊断即将临产，可能有助于避免过度用药并为有风险的孕妇提供更好的护理。