Literature DB >> 18583724

Estimation of internal uterine pressure by joint amplitude and frequency analysis of electrohysterographic signals.

Chiara Rabotti1, Massimo Mischi, Judith O E H van Laar, Guid S Oei, Jan W M Bergmans.   

Abstract

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.

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Year:  2008        PMID: 18583724     DOI: 10.1088/0967-3334/29/7/011

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  18 in total

1.  Computer-based intrapartum fetal monitoring and beyond: A review of the 2nd Workshop on Signal Processing and Monitoring in Labor (October 2017, Oxford, UK).

Authors:  Antoniya Georgieva; Patrice Abry; Václav Chudáček; Petar M Djurić; Martin G Frasch; René Kok; Christopher A Lear; Sebastiaan N Lemmens; Inês Nunes; Aris T Papageorghiou; Gerald J Quirk; Christopher W G Redman; Barry Schifrin; Jiri Spilka; Austin Ugwumadu; Rik Vullings
Journal:  Acta Obstet Gynecol Scand       Date:  2019-06-18       Impact factor: 3.636

Review 2.  Use of uterine electromyography to diagnose term and preterm labor.

Authors:  Miha Lucovnik; Ruben J Kuon; Linda R Chambliss; William L Maner; Shao-Qing Shi; Leili Shi; James Balducci; Robert E Garfield
Journal:  Acta Obstet Gynecol Scand       Date:  2010-12-07       Impact factor: 3.636

3.  Nifedipine-induced changes in the electrohysterogram of preterm contractions: feasibility in clinical practice.

Authors:  Maartje P G C Vinken; C Rabotti; M Mischi; J O E H van Laar; S G Oei
Journal:  Obstet Gynecol Int       Date:  2010-06-16

4.  Monitoring uterine activity during labor: a comparison of 3 methods.

Authors:  Tammy Y Euliano; Minh Tam Nguyen; Shalom Darmanjian; Susan P McGorray; Neil Euliano; Allison Onkala; Anthony R Gregg
Journal:  Am J Obstet Gynecol       Date:  2012-10-23       Impact factor: 8.661

5.  Improved Prediction of Preterm Delivery Using Empirical Mode Decomposition Analysis of Uterine Electromyography Signals.

Authors:  Peng Ren; Shuxia Yao; Jingxuan Li; Pedro A Valdes-Sosa; Keith M Kendrick
Journal:  PLoS One       Date:  2015-07-10       Impact factor: 3.240

6.  Influence of electrode placement on signal quality for ambulatory pregnancy monitoring.

Authors:  M J Rooijakkers; S Song; C Rabotti; S G Oei; J W M Bergmans; E Cantatore; M Mischi
Journal:  Comput Math Methods Med       Date:  2014-02-03       Impact factor: 2.238

7.  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

Review 8.  Electrodes in external electrohysterography: a systematic literature review.

Authors:  Thierry R Jossou; Aziz Et-Tahir; Zakaria Tahori; Abdelmajid El Ouadi; Daton Medenou; Abdelmajid Bybi; Latif Fagbemi; Mohamed Sbihi; Davide Piaggio
Journal:  Biophys Rev       Date:  2021-05-09

9.  Automatic evaluation of progression angle and fetal head station through intrapartum echographic monitoring.

Authors:  Sergio Casciaro; Francesco Conversano; Ernesto Casciaro; Giulia Soloperto; Emanuele Perrone; Gian Carlo Di Renzo; Antonio Perrone
Journal:  Comput Math Methods Med       Date:  2013-09-09       Impact factor: 2.238

10.  Automatic identification of motion artifacts in EHG recording for robust analysis of uterine contractions.

Authors:  Yiyao Ye-Lin; Javier Garcia-Casado; Gema Prats-Boluda; José Alberola-Rubio; Alfredo Perales
Journal:  Comput Math Methods Med       Date:  2014-01-09       Impact factor: 2.238

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