北京生物医学工程

基于高斯函数分解的妊娠期高血压患者脉搏波特征研究

Study on pulse wave characteristic in patients with HDCP based on Gaussian function decomposition

作者：张魁星孟煜杨琳

单位：山东中医药大学智能与信息工程学院(济南250355) 北京工业大学环境与生命学部(北京 250014) 通信作者:杨琳 E-mail:Yanglin@bjut.edu.cn

关键词：妊娠期高血压疾病; 脉搏波; 高斯函数; 波形特征参数

分类号：R318.04

出版年·卷·期（页码）：2020·39·4（357-363）

摘要：

目的对妊娠期高血压疾病(妊高病)患者的脉搏波特征进行研究,以希望达到早期预测妊高病的目的? 方法回顾性研究 143 名孕妇的脉搏波数据(其中健康孕妇 86 例,被诊断为妊高病者 57人),利用高斯函数将脉搏波进行分解并提取其特征参数,对妊高病患者和健康孕妇的脉搏波特征参数进行统计分析,对比其在不同孕周段的差异性? 结果自孕 16 周开始,妊高病患者脉搏波的潮波均显著高于健康孕妇,妊高病患者的重搏波平滑且不明显;健康孕妇的第一个高斯波幅度( H1)均高于妊高病患者,第二个高斯波幅度(H2)均低于妊高病患者;在生理参数研究中,在孕 24 周以后,妊高病患者的收缩压显著高于健康孕妇(P<0.05),并且除孕 28 ~ 31 周之外,妊高病患者的舒张压显著高于健康孕妇(P<0.05)? 结论运用 4 个高斯函数对妊娠期孕妇的脉搏波进行分解,能够得到妊高病患者和健康孕妇的脉搏波在各个孕周段内的差异性,并且这种差异性明显早于血压出现差异的时间,这对于提早预测妊高病的发生?促进母儿健康具有一定的临床研究和应用价值?

Objective To study the method of predicting hypertensive disorder complicating pregnancy( HDCP) by pulse wave, and to predict hypertensive disorder complicating pregnancy early.Methods Gaussian curve decomposition method was used to decompose and identify the pulse waveform and calculate its characteristic parameters. The physiological parameters and pulse wave characteristic parameters of pregnant women with HDCP and healthy pregnant women were analyzed statistically. Results From 16 weeks gestation, the pulse waves of pregnant women with HDCP were significantly higher than those of healthy pregnant women,the first Gaussian wave amplitudes ( H1 ) of healthy pregnant women were higher than those of pregnant women with HDCP and the second?order Gaussian wave amplitudes ( H2) were lower than those of pregnant women with HDCP pregnant women with HDCP were higher than those of healthy pregnant women (P<0.05) and diastolic blood pressures were significantly higher in pregnant women with HDCP except 28 - 31 weeks of pregnancy. Conclusions Using the Gaussian function to decompose the pulse wave of pregnant women with HDCP during pregnancy, we can get the difference between pregnant women with HDCP and healthy pregnant women in each gestational period, and this difference is obviously earlier than the time of blood pressure difference, which has certain clinical research and application value for predicting the occurrence of hypertension early and promoting maternal and infant health

参考文献：

[ 1 ] 张小灵. 妊娠期高血压疾病的预测与预防[J]. 世界最新医学信息文摘, 2019, 19(68):285.

[ 2 ] Gyselaers W, Tomsin K, Staelens A, et al. Maternal venous hemodynamics in gestational hypertension and preeclampsia[ J].BMC Pregnancy and Childbirth, 2014, 14:212.

[ 3 ] 石晛,邓芯茹,钟小翠,等. 妊娠期高血压疾病相关因素分析[J]. 重庆医学,2020, 49(3):457-462.

Shi X, Deng XR, Zhong XC, et al. Analysis on factors related to hypertensive disorder complicating pregnancy [ J ]. Chongqing Medicine, 2020, 49(3):457-462.

[ 4 ] 张永会,高长青,王嵘. 脉搏波分析方法及其应用[J]. 北京生物医学工程,2019,38(3):319-326.

Zhang YH,Gao CQ,Wang R. Methods of pulse wave analysis and its application [ J]. Beijing Biomedical Engineering, 2019, 38(3):319-326.

[ 5 ] 张俊利,蔺嫦燕,杨琳,等. 脉搏波波形特征信息检测及与部分血流动力学变化相关分析[ J]. 生物医学工程与临床,2008, 12(2):104-107.

Zhang JL, Lin CY, Yang L, et al. Detection of waveform characteristic of pulse wave and analysis of its related partial hemodynamic changes[ J]. Biomedical Engineering and Clinical Medicine, 2008, 12(2):104-107.

[ 6 ] 乔晔,张松,丛克家.妊娠高血压综合征的预测[J].当代医学,2001,7(5):68-71, 52.

Qiao Y, Zhang S, Cong KJ. Prediction of pregnancy induced hypertension[J]. China Contemporary Medicine, 2001, 7( 5):66-71, 52.

[ 7 ] 丛克家,于芳清,刘桂荣,等.应用桡动脉血流图预测妊高征[J].中华妇产科杂志,1989,24(1):5-7.

[ 8 ] 李霞,陆琤,刘星星.脉搏波分析研究进展[ J].北京生物医学工程,2015,34(5):544-547.

Li X,Lu C,Liu XX. Progress in pulse wave analysis[J]. Beijing Biomedical Engineering, 2015,34(5):544-547.

[ 9 ] 钱伟立,徐兰义,陈富裕,等. 高斯函数分解法提取脉搏波特征[J]. 中国生物医学工程学报, 1994,13 (1):1-7, 15.

Qian WL, Xu LY, Chen FY, et al. Acquiring characteristics of pulse wave by Gauss function separation[ J]. Chinese Journal of Biomedical Engineering, 1994, 13(1):1-7, 15.

[10] Li K, Zhang S,Yang L, et al. Gaussian modelling characteristics of peripheral arterial pulse:difference between measurements from the three trimesters of healthy pregnancy [ J ]. Journal of Healthcare Engineering, 2018, 2018:1308419.

[11] Desova AA, Guchuk VV, Dorofejuk AA, et al. Oscillatory structure of the parameters of the pulse signal of the radial artery [J]. Human Physiology, 2012, 38(4):383-388.

[12] Joshi KR, Kabirdas D, Romero?Corral A, et al. Clinical significance of a presystolic wave on doppler examination of the left ventricular outflow tract [ J ]. The American Journal of Cardiology, 2014, 114(10):1599-1602.

[13] 汪剑鸣,惠芳,韦然. 基于特征参数的脉搏波高斯拟合[J]. 天津工业大学学报, 2016, 35(5):59-65.

Wang JM,Hui F,Wei R. Pulse wave Gaussian fitting based on characteristic parameters[ J]. Journal of TIANGONG University,2016, 35(5):59-65.

[14] Chi ZY, Song Z, Wang Y, et al. Research of gestational diabetes mellitus risk evaluation method [ J]. Technology and health care : official journal of the European Society for Engineering and Medicine, 2016, 24 (Suppl 2):S499-S503.

[15] Remmen JJ, Aengevaeren WRM, Verheugt FWA, et al. Finapres arterial pulse wave analysis with Modelflow is not a reliable non-invasive method for assessment of cardiac output [ J]. Clinical science (London, England :1979), 2002, 103(2):143-149.

[16] 苏志刚,朱海玲,郝敬堂. 基于高斯混合模型的脉搏波特征提取方法[J].中国医学物理学杂志,2018, 35(1):76-82.

SU Zhigang, ZHU Hailing, HAO Jingtang. Gaussian mixture Model-based method for extracting the features of pulse wave[J].Chinese Journal of Medical Physics,2018, 35(1):76-82.

[17] Mahendru AA, Everett TR, McEniery CM, et al. Maternal cardiovascular function: longitudinal changes prior to and in pregnancy [ J ]. Archives of Disease in Childhood-Fetal and Neonatal Edition, 2012, 97(Suppl 1):A30-A31.

[18] T Ghi, Kuleva M, Youssef A, et al. Maternal cardiac function in complicated twin pregnancy:a longitudinal study[ J]. Ultrasound in Obstetrics & Gynecology: the official journal of the International Society of Ultrasound in Obstetrics and Gynecology,2011, 38(5):581-585.

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