宫缩与非宫缩状态下子宫肌电信号特征研究  

Electrohysterogram signal based on features from uterine contraction and non-contraction

作　　者：刘智挥 郝冬梅[1] 刘俊涛[2] 周希亚[2] 张蕾 杨琳[1] 张松[1] 杨益民[1] 郑定昌 

机构地区：[1]北京工业大学生命科学与生物工程学院,北京100024 [2]北京协和医院,北京100730 [3]北京易思医疗器械有限责任公司,北京100052 [4]安格利亚鲁斯金大学医学部

出　　处：《北京生物医学工程》2017年第5期471-477,共7页Beijing Biomedical Engineering

基　　金：比尔.梅琳达盖茨基金(OPP1148910);北京市自然科学基金(7172015);北京市科技计划(Z161100000116005)资助

摘　　要：目的利用体表子宫肌电信号的分析实现宫缩和非宫缩状态的识别。方法利用Monica AN24母胎监护仪采集10名孕期和10名临产期孕妇的子宫肌电信号,然后提取了子宫肌电信号线性和非线性特征参数及其变化率,特征参数包括均方根、峰值频率、中值频率、平均频率、小波包分解系数方差和时间可逆性。使用统计学方法对提取的数据特征进行单因素方差分析,比较了临产组和孕期组中宫缩段和非宫缩段信号的差异。结果组内宫缩段信号与非宫缩段信号、组间宫缩段信号与非宫缩段信号的特征差异具有统计学意义(P<0.05)。结论子宫肌电信号的研究为子宫收缩的识别与监测提供了重要的参考价值。Objective To recognize the contraction and non-contraction through the analysis of electrohysterogram（EHG） from pregnant women. Methods The data were collected from 10 pregnant women under pregnancy state and 10 pregnant women under labor stateby Monica AN24 fetal Monitoring. Then,linear andnonlinear featuresand their variabilitywere extracted,including root mean square（RMS）,peak frequency（PF）,median frequency（MDF）,mean frequency（MNF）,parameters from wavelet decomposition（W4,W5）and time reversibility（Tr）. Features of contraction and non-contraction were compared by statistical method.Results Features of contraction and non-contraction both indicated significant difference（P 0. 05） within groups and between groups. Conclusions The study of uterine EHG signal provides an important reference value for the identification and monitoring of uterine contraction.

关 键 词：子宫肌电信号 宫缩 特征 临产状态 孕期状态 

分 类 号：R318.04[医药卫生—生物医学工程]