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子宫电图传导速度的二维估计

Two-dimensional estimation of the electrohysterographic conduction velocity.

作者信息

Rabotti Chiara, Mischi Massimo

机构信息

Department of Electrical Engineering, Eindhoven University of technology, the Netherlands.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:4262-5. doi: 10.1109/IEMBS.2010.5627172.

Abstract

Propagation of action potentials (APs) through an adequate number of uterine muscle cells induces contraction of the uterus. Monitoring uterine contractions, as the first sign of labor, can provide important information on the course of pregnancy and delivery. Unfortunately, current monitoring methods are affected by serious limitations. The electrohysterogram (EHG), which is the noninvasive recording of the APs propagating through the uterine smooth muscle cells, is here analyzed as a potential alternative to current methods. We focus on estimating the conduction velocity (CV) of surface APs extracted from an EHG recorded in a multielectrode configuration. In this work, a two-dimensional, 64-channel, high density electrode grid is used. Maximum likelihood methods are employed for analyzing the EHG AP propagation in two dimensions. The use of different weighting strategies of the derived cost function is introduced to deal with poor interchannel signal similarity. The presented methods were evaluated by specific simulations proving the best weighting strategy to lead to an accuracy improvement of 58%. EHG measurements on women with uterine contractions confirmed the feasibility of the method by leading to values of conduction velocity within the expected physiological range.

摘要

动作电位(APs)通过足够数量的子宫肌细胞传播会引起子宫收缩。监测子宫收缩作为分娩的首要迹象,可以提供有关妊娠和分娩过程的重要信息。不幸的是,目前的监测方法存在严重局限性。子宫电图(EHG)是对通过子宫平滑肌细胞传播的动作电位进行的无创记录,本文将其作为当前方法的一种潜在替代方法进行分析。我们专注于估计从多电极配置记录的EHG中提取的表面动作电位的传导速度(CV)。在这项工作中,使用了二维64通道高密度电极网格。采用最大似然方法分析二维EHG动作电位传播。引入了对导出代价函数的不同加权策略来处理通道间信号相似性较差的问题。通过特定模拟对所提出的方法进行了评估,证明最佳加权策略可使精度提高58%。对有子宫收缩的女性进行的EHG测量通过得出在预期生理范围内的传导速度值,证实了该方法的可行性。

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