Automated conduction velocity analysis in the electrohysterogram for prediction of imminent delivery: A preliminary study

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Abstract

Background. Analysis of the electrohysterogram (EHG) is a promising diagnostic tool for preterm delivery. For the introduction in the clinical practice, analysis of the EHG should be reliable and automated to guarantee reproducibility. Study Goal. Investigating the feasibility of automated analysis of the EHG conduction velocity (CV) for detecting imminent delivery. Materials and Methods. Twenty-two patients presenting with uterine contractions (7 preterm) were included. An EHG was obtained noninvasively using a 64-channel high-density electrode grid. Contractions were selected based on the estimated intrauterine pressure derived from the EHG, the tocodynamometer, and maternal perception. Within the selected contractions, the CV vector was identified in two dimensions. Results. Nine patients delivered within 24 hours and were classified as a labor group. 64 contractions were analyzed; the average amplitude of the CV vector was significantly higher for the labor group, 8.65 cm/s ± 1.90, compared to the nonlabor group, 5.30 cm/s ± 1.47 (P < 0.01). Conclusion. The amplitude of the CV is a promising parameter for predicting imminent (preterm) delivery. Automated estimation of this parameter from the EHG signal is feasible and should be regarded as an important prerequisite for future clinical studies and applications. © 2013 Hinke de Lau et al.

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De Lau, H., Rabotti, C., Bijloo, R., Rooijakkers, M. J., Mischi, M., & Oei, S. G. (2013). Automated conduction velocity analysis in the electrohysterogram for prediction of imminent delivery: A preliminary study. Computational and Mathematical Methods in Medicine, 2013. https://doi.org/10.1155/2013/627976

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