Yeh Huei-Ming, Chang Yi-Chung, Lin Chen, Yeh Chien-Hung, Lee Chien-Nan, Shyu Ming-Kwang, Hung Ming-Hui, Hsiao Po-Ni, Wang Yung-Hung, Tseng Yu-Hsin, Tsao Jenho, Lai Ling-Ping, Lin Lian-Yu, Lo Men-Tzung
Department of Anesthesiology, National Taiwan University Hospital, Taipei, Taiwan.
Graduate Institute of Communication Engineering, National Taiwan University, Taipei, Taiwan; Research Center for Adaptive Data Analysis & Center for Dynamical Biomarkers and Translational Medicine, National Central University, Taoyuan, Taiwan.
PLoS One. 2015 Feb 13;10(2):e0117509. doi: 10.1371/journal.pone.0117509. eCollection 2015.
Monitoring of fetal heart rate (FHR) is important during labor since it is a sensitive marker to obtain significant information about fetal condition. To take immediate response during cesarean section (CS), we noninvasively derive FHR from maternal abdominal ECG.
We recruited 17 pregnant women delivered by elective cesarean section, with abdominal ECG obtained before and during the entire CS. First, a QRS-template is created by averaging all the maternal ECG heart beats. Then, Hilbert transform was applied to QRS-template to generate the other basis which is orthogonal to the QRS-template. Second, maternal QRS, P and T waves were adaptively subtracted from the composited ECG. Third, Gabor transformation was applied to obtain time-frequency spectrogram of FHR. Heart rate variability (HRV) parameters including standard deviation of normal-to-normal intervals (SDNN), 0V, 1V, 2V derived from symbolic dynamics of HRV and SD1, SD2 derived from Poincareé plot. Three emphasized stages includes: (1) before anesthesia, (2) 5 minutes after anesthesia and (3) 5 minutes before CS delivery.
FHRs were successfully derived from all maternal abdominal ECGs. FHR increased 5 minutes after anesthesia and 5 minutes before delivery. As for HRV parameters, SDNN increased both 5 minutes after anesthesia and 5 minutes before delivery (21.30±9.05 vs. 13.01±6.89, P < 0.001 and 22.88±12.01 vs. 13.01±6.89, P < 0.05). SD1 did not change during anesthesia, while SD2 increased significantly 5 minutes after anesthesia (27.92±12.28 vs. 16.18±10.01, P < 0.001) and both SD2 and 0V percentage increased significantly 5 minutes before delivery (30.54±15.88 vs. 16.18±10.01, P < 0.05; 0.39±0.14 vs. 0.30±0.13, P < 0.05).
We developed a novel method to automatically derive FHR from maternal abdominal ECGs and proved that it is feasible during CS.
分娩期间监测胎儿心率(FHR)很重要,因为它是获取有关胎儿状况重要信息的敏感指标。为了在剖宫产(CS)期间立即做出反应,我们从孕妇腹部心电图中无创地获取FHR。
我们招募了17名择期剖宫产的孕妇,在整个剖宫产过程之前和期间获取腹部心电图。首先,通过平均所有孕妇心电图心跳来创建QRS模板。然后,对QRS模板应用希尔伯特变换以生成与QRS模板正交的另一个基。其次,从合成心电图中自适应减去孕妇的QRS、P和T波。第三,应用加博尔变换以获得FHR的时频谱图。心率变异性(HRV)参数包括正常到正常间隔的标准差(SDNN)、从HRV的符号动力学导出的0V、1V、2V以及从庞加莱图导出的SD1、SD2。三个重点阶段包括:(1)麻醉前,(2)麻醉后5分钟,(3)剖宫产分娩前5分钟。
成功从所有孕妇腹部心电图中获取了FHR。FHR在麻醉后5分钟和分娩前5分钟升高。至于HRV参数,SDNN在麻醉后5分钟和分娩前5分钟均升高(21.30±9.05对13.01±6.89,P<0.001;22.88±12.01对13.01±6.89,P<0.05)。SD1在麻醉期间没有变化,而SD2在麻醉后5分钟显著升高(27.92±12.28对16.18±10.