基于EHG的复杂临床环境下的临产孕妇分娩结局分析
EHG-Based Analysis of Labor Outcomes in Term Pregnant Women in Complex Clinical Settings
DOI: 10.12677/acm.2024.1451454, PDF,    国家自然科学基金支持
作者: 李婉婷, 纪 蔓, 李广飞*:北京工业大学化学与生命科学学院,北京
关键词: 子宫肌电临产孕妇分娩结局特征提取Electrohysterogram Term Pregnant Women Labor Outcome Feature Extraction
摘要: 子宫肌电(Electrohysterogram, EHG)信号是利用表面电极无创地记录子宫肌细胞的电活动,本研究通过腹电式胎儿监护仪长时间采集临产孕妇腹部的电信号,主要分析了使用催产素药物引产当天孕妇的EHG信号以探究不同分娩结局的信号特征参数差异。对EHG信号进行带通滤波、降采样和双极化处理,和噪声标注等预处理,随后使用全窗分析的方式提取均方根(Root Mean Square, RMS)、中值频率(Median Frequency, MDF)和样本熵(Sample Entropy, SampEn)等特征参数。采用Mann-Whitney U检验分析临产孕妇的临床指标和EHG信号特征参数之间的差异,结果显示RMS和SampEn参数和0.5%催产素用量等在经阴道分娩组与剖宫产组间存在显著差异,揭示了临产孕妇子宫电活动在不同分娩结局上的差异。
Abstract: The Electrohysterogram (EHG) signal records the electrical activity of uterine muscle cells non-invasively using surface electrodes. The study collected electrical signals from the abdomen of pregnant women in labor for a prolonged period of time by means of an abdominal electrical fetal monitor, and mainly analyzed the EHG signals of pregnant women on the day of inducing labor with oxytocin medication in order to investigate the differences in the signal characteristic parameters of different labor outcomes. The EHG signals underwent preprocessing steps such as bandpass filtering, downsampling, bipolarization, and noise annotation, followed by the extraction of feature parameters like Root Mean Square (RMS), Median Frequency (MDF), and Sample Entropy (SampEn) through whole-window analysis. The differences between clinical indicators of laboring pregnant women and EHG signal feature parameters were analyzed using the Mann-Whitney U test. The results showed significant differences in RMS and SampEn parameters and the usage of 0.5% oxytocin between the vaginal delivery group and the cesarean section group, revealing the variation in uterine electrical activity among different childbirth outcomes in laboring pregnant women.
文章引用:李婉婷, 纪蔓, 李广飞. 基于EHG的复杂临床环境下的临产孕妇分娩结局分析[J]. 临床医学进展, 2024, 14(5): 493-502. https://doi.org/10.12677/acm.2024.1451454

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