On the propagation analysis of electrohysterographic signals

C. Rabotti, M. Mischi, J.O.E.H. Laar, van, S.G. Oei, J.W.M. Bergmans

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

7 Citations (Scopus)
92 Downloads (Pure)

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.
Original languageEnglish
Title of host publicationEMBS 2008. 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2008. 20-25 August, 2008, Vancouver, British Columbia, Canada
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages3868-3871
ISBN (Print)978-1-4244-1814-5
DOIs
Publication statusPublished - 2008

Fingerprint Dive into the research topics of 'On the propagation analysis of electrohysterographic signals'. Together they form a unique fingerprint.

Cite this