Rabotti Chiara, Mischi Massimo, van Laar Judith O E H, Oei Guid S, Bergmans Jan W M
Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
Physiol Meas. 2008 Jul;29(7):829-41. doi: 10.1088/0967-3334/29/7/011. Epub 2008 Jun 26.
Monitoring the uterine contraction provides important prognostic information during pregnancy and parturition. The existing methods employed in clinical practice impose a compromise between reliability and invasiveness. A promising technique for uterine contraction monitoring is electrohysterography (EHG). The EHG signal measures the electrical activity which triggers the contraction of the uterine muscle. In this paper, a non-invasive method for intrauterine pressure (IUP) estimation by EHG signal analysis is proposed. The EHG signal is regarded as a non-stationary signal whose frequency and amplitude characteristics are related to the IUP. After acquisition in a multi-channel configuration, the EHG signal is therefore analyzed in the time-frequency domain. A first estimation of the IUP is then derived by calculation of the unnormalized first statistical moment of the frequency spectrum. The estimation accuracy is finally increased by identification of a second-order polynomial model. The proposed method is compared to root mean squared analysis and optimal linear filtering and validated by simultaneous measurement of the IUP on nine women during labor. The results suggest that the proposed EHG signal analysis provides an accurate estimate of the IUP.
在孕期和分娩过程中,监测子宫收缩可提供重要的预后信息。临床实践中使用的现有方法在可靠性和侵入性之间存在折衷。一种很有前景的子宫收缩监测技术是子宫电描记术(EHG)。EHG信号测量触发子宫肌肉收缩的电活动。本文提出了一种通过EHG信号分析来估计宫内压(IUP)的非侵入性方法。EHG信号被视为一种非平稳信号,其频率和幅度特性与IUP相关。在多通道配置下采集EHG信号后,因此在时频域对其进行分析。然后通过计算频谱的未归一化一阶统计矩得出IUP的初步估计值。最后通过识别二阶多项式模型提高估计精度。将所提出的方法与均方根分析和最优线性滤波进行比较,并通过在九名分娩妇女中同时测量IUP进行验证。结果表明,所提出的EHG信号分析可准确估计IUP。