Khandoker Ahsan H, Wahbah Maisam, Al Sakaji Raghad, Funamoto Kiyoe, Krishnan Anita, Kimura Yoshitaka
Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:604-607. doi: 10.1109/EMBC44109.2020.9176049.
Beat-by-beat maternal and fetal heart couplings were reported to be evident throughout the fetal development. However, it is still unknown whether maternal-fetal heartbeat coupling parameters are associated with fetal development, and the potential interrelationships. Therefore, this study aims to investigate the associations of coupling parameters with fetal gestational age by multivariate regression models. Ten min abdominal lead-based maternal and fetal ECG signals were collected from 16 healthy pregnant women with healthy singleton pregnancies (19-32 weeks). Maternal and Fetal Heart Rate Variability (MHRV and FHRV) values as well as maternal-fetal heart rate coupling (strength, measured by A) parameters at various coupling ratios (associated with different Maternal:Fetal heartbeat ratios of 1:2, 1:3, 2:3, 2:4, 3:4, and 3:5) were calculated. Based on those features stepwise multivariate regression models were constructed by validating against the gold standard gestational age identified by crown-rump length from doppler echocardiogram. Among all models, the best model (Root Mean Square Error, RMSE=1.92) was found to be significantly (p<0.05) associated with mean fetal heart rate, mean maternal heart rate, standard deviation of maternal heart rate, λ[1:3], λ[2:3], λ[2:4]. Correlation coefficients and Bland Altman plots were constructed to statistically validate the results. The model developed based on coupling parameters only, showed the second-best performance (RMSE=2.50). Therefore, combining maternal and fetal heart rate variability parameters with maternal-fetal heart rate coupling values (rather than considering FHRV or MHRV parameters only) is found to be better associated with fetal development.Clinical relevance- This is a brief additional statement on why this might be of interest to practicing clinicians. Example: This establishes the anesthetic efficacy of 10% intraosseous injections with epinephrine to positively influence cardiovascular function.
据报道,逐搏的母婴心跳耦合在胎儿发育全过程中都很明显。然而,母婴心跳耦合参数是否与胎儿发育及其潜在的相互关系仍不清楚。因此,本研究旨在通过多变量回归模型研究耦合参数与胎儿孕周的关联。从16例单胎健康孕妇(孕周19 - 32周)采集了10分钟基于腹部导联的母婴心电图信号。计算了母婴心率变异性(MHRV和FHRV)值以及不同耦合比(对应母体与胎儿心跳比为1:2、1:3、2:3、2:4、3:4和3:5)下的母婴心率耦合(强度,用A测量)参数。基于这些特征,通过与经多普勒超声心动图测量的顶臀长确定的金标准孕周进行验证,构建了逐步多变量回归模型。在所有模型中,发现最佳模型(均方根误差,RMSE = 1.92)与胎儿平均心率、母体平均心率、母体心率标准差、λ[1:3]、λ[2:3]、λ[2:4]显著相关(p < 0.05)。构建了相关系数和布兰德 - 奥特曼图以对结果进行统计学验证。仅基于耦合参数开发的模型表现次之(RMSE = 2.50)。因此,发现将母婴心率变异性参数与母婴心率耦合值相结合(而不是仅考虑FHRV或MHRV参数)与胎儿发育的关联性更好。临床相关性——这是关于为什么这可能会引起临床医生兴趣的简短补充说明。示例:这证实了10%骨内注射肾上腺素对心血管功能有积极影响的麻醉效果。