Literature DB >> 19163557

On the propagation analysis of electrohysterographic signals.

Chiara Rabotti1, Massimo Mischi, Judith van Laar, Guid Oei, Jan Bergmans.   

Abstract

Premature birth is a leading cause of fetal mortality and long-term morbidity. The effective treatment of preterm uterine contractions requires new methods for predicting delivery. The electrohysterographic (EHG) signal is a measure of the bioelectrical process underlying the uterine contraction. The analysis of parameters derived from the EHG signal can therefore provide fundamental information for the prognosis of labor. In this paper, we focus on the propagation of the EHG signal recorded during delivery by multiple electrodes. For the inter-electrode delay assessment and propagation analysis, two different methods are implemented. One is based on the prior estimation of the uterine mechanical activity by EHG signal processing. The delay is then calculated by the cross-correlation function between the mechanical activity estimated at each sensor. The other method is a high temporal resolution adaptive delay estimator that operates directly on EHG signals. The previously demonstrated accuracy of the mechanical estimates and the agreement between the delays provided by the methods confirm the tight relationship between the mechanical and electrical activity of the uterus. However, our results suggest that a higher temporal resolution delay estimator is preferred.

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Year:  2008        PMID: 19163557     DOI: 10.1109/IEMBS.2008.4650054

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  3 in total

1.  Noninvasive uterine electromyography for prediction of preterm delivery.

Authors:  Miha Lucovnik; William L Maner; Linda R Chambliss; Richard Blumrick; James Balducci; Ziva Novak-Antolic; Robert E Garfield
Journal:  Am J Obstet Gynecol       Date:  2010-12-08       Impact factor: 8.661

2.  Automated conduction velocity analysis in the electrohysterogram for prediction of imminent delivery: a preliminary study.

Authors:  Hinke de Lau; Chiara Rabotti; Rianne Bijloo; Michael Johannes Rooijakkers; Massimo Mischi; S Guid Oei
Journal:  Comput Math Methods Med       Date:  2013-12-29       Impact factor: 2.238

3.  Assessing Velocity and Directionality of Uterine Electrical Activity for Preterm Birth Prediction Using EHG Surface Records.

Authors:  Franc Jager; Ksenija Geršak; Paula Vouk; Žiga Pirnar; Andreja Trojner-Bregar; Miha Lučovnik; Ana Borovac
Journal:  Sensors (Basel)       Date:  2020-12-20       Impact factor: 3.576

  3 in total

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