子宫肌电图用于描述妊娠期宫缩的治疗

C. Marque , H. Léman , M.L. Voisine , J. Gondry , P. Naepels
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引用次数: 18

摘要

在妊娠19 ~ 37周(WG)的孕妇腹部记录子宫电图(EWG),并对其进行处理以检测早产。针对不同电磁噪声对电磁极的干扰,我们提出了基于小波分解的电磁极去噪算法。从频谱和时间表征以及从EHG的瞬时频率中提取的经典参数使我们能够在怀孕期间跟踪信号的解决方案。此外,判别分析使我们能够证明导致足月或早产的宫缩之间的差异,一旦从EHG信号中计算出30个非平稳参数,为了跟踪动物记录中已知的与收缩效率有关的两种电波。这些波的提取和表征是通过提取尺度图的脊,由连续小波变换计算得到的。仪器部件的开发从母体运动伪影的分析开始,并与不同种类的电极进行比较,适合24小时记录。第一个便携式录音机原型目前正在开发中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Traitement de l'électromyogramme utérin pour la caractérisation des contractions pendant la grossesse

The uterine electrohysterogram (EWG) has been recorded on the abdomen of pregnant women, from 19 to 37 weeks of gestation (WG), and processed in order to detect preterm delivery. The EHG being corrupted by different electromagnetic noises, we have developed specific algorithms, based on wavelet decomposition, for the denoising of the EHG. Classical parameters, extracted from the spectral and temporal representations and from the instantaneous frequency of the EHG, have permitted us to follow the solution of the signals during pregnancy, Furthermore, a discriminant analysis permitted us to evidence a difference between contractions leading to term or preterm deliveries, as soon as 30 WG Non-stationary parameters have then been computed from EHG signals, in order to follow the two electrical waves that are known on animal recordings to be related to contraction efficiency. The extraction and characterization of these waves are made by extracting the ridges of the scalogram, computed from the continuous wavelet transform. The instrumental part development has started with the analysis of maternal movement artifacts, and with the comparison of different kinds of electrodes, suitable for 24 hours recording. A first portable recorder prototype is presently under development.

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