标题： 子宫收缩分析的电气和机械建模：使用连通性方法和图论 显示英文标题

标题： Electrical and Mechanical Modeling of Uterine Contractions Analysis Using Connectivity Methods and Graph Theory

摘要： 早产是胎儿死亡和发病率的主要原因，因此预测和治疗早产性宫缩至关重要。 子宫电图（EHG）信号测量控制子宫收缩的电信号。 分析EHG特征可以为分娩检测提供有价值的见解。 在本文中，我们提出了一种框架，使用模拟的EHG信号来识别对子宫连通性敏感的特征。 我们关注分娩期间由多个电极记录的EHG信号传播。 模拟的EHG信号使用电扩散（ED）和机械转导（EDM）生成，以确定哪种连通性方法和图参数最能代表子宫同步性。 在两种情况下进行了信号模拟：仅通过修改组织电阻使用ED，以及通过改变机械转导模型参数同时使用ED和EDM。 使用16个表面电极的矩阵进行模拟。 我们的结果表明，简化的机电模型可以监测子宫同步性。 在真实和模拟的EHG信号上使用Fscore进行特征选择，突出了检测机械转导变化的最佳特征是H2单独或与Str、R2(PR)和ICOH(Str)结合。 检测电信号扩散变化的最佳特征是H2、Eff、PR和BC。 显示英文摘要

摘要： Premature delivery is a leading cause of fetal death and morbidity, making the prediction and treatment of preterm contractions critical. The electrohysterographic (EHG) signal measures the electrical activity controlling uterine contraction. Analyzing EHG features can provide valuable insights for labor detection. In this paper, we propose a framework using simulated EHG signals to identify features sensitive to uterine connectivity. We focus on EHG signal propagation during delivery, recorded by multiple electrodes. Simulated EHG signals were generated using electrical diffusion (ED) and mechanotransduction (EDM) to identify which connectivity methods and graph parameters best represent uterine synchronization. The signals were simulated in two scenarios: using only ED by modifying tissue resistance, and using both ED and EDM by varying mechanotransduction model parameters. A matrix of 16 surface electrodes was used for the simulations. Our results show that a simplified electromechanical model can monitor uterine synchronization. Feature selection using Fscore on real and simulated EHG signals highlighted that the best features for detecting mechanotransduction shifts were H2 alone or combined with Str, R2(PR), and ICOH(Str). The best features for detecting electrical diffusion shifts were H2, Eff, PR, and BC.