Literature DB >> 16088066

Quantitative analysis of contraction patterns in electrical activity signal of pregnant uterus as an alternative to mechanical approach.

Janusz Jezewski1, Krzysztof Horoba, Adam Matonia, Janusz Wrobel.   

Abstract

Monitoring of uterine contraction activity is an important diagnostic tool used during both pregnancy and labour. The strain the pregnant uterus exerts on the maternal abdomen is measured via external tocography. However, limitation of this approach has caused the development of another technique-electrohysterography--which is based on the recording of electrical uterine activity. A computer-aided system is presented, which allows the recording of electrohysterographic signals from the maternal abdomen and their on-line analysis both in time and frequency domains. As a research material, we acquired 108 traces during a 24 h period before labour from a group of patients between 37 and 40 weeks of gestation. The comparison study between electrohysterography and tocography was carried out thanks to the possibility of simultaneous recording of mechanical and electrical uterine activities. The obtained results show that both methods demonstrate high agreement in relation to the number of contractions recognized as being consistent. However, their agreement in relation to the quantitative description of recognized patterns has appeared to be unacceptable to consider these methods as fully alternative. The appropriate way of further development of electrohysterography seems to be spectral analysis. Several spectral parameters describing electrophysiological properties of uterine muscle can be obtained by the use of electrohysterographic signals.

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Mesh:

Year:  2005        PMID: 16088066     DOI: 10.1088/0967-3334/26/5/014

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


  14 in total

1.  A comparison of various linear and non-linear signal processing techniques to separate uterine EMG records of term and pre-term delivery groups.

Authors:  G Fele-Zorz; G Kavsek; Z Novak-Antolic; F Jager
Journal:  Med Biol Eng Comput       Date:  2008-04-24       Impact factor: 2.602

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.  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

4.  Acquisition and Analysis of Electrohysterogram Signal.

Authors:  Parameshwari R; Shenbaga Devi S
Journal:  J Med Syst       Date:  2020-02-10       Impact factor: 4.460

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.  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

7.  Comparison of electrohysterogram signal measured by surface electrodes with different designs: A computational study with dipole band and abdomen models.

Authors:  Pei Gao; Dongmei Hao; Yang An; Ying Wang; Qian Qiu; Lin Yang; Yimin Yang; Song Zhang; Xuwen Li; Dingchang Zheng
Journal:  Sci Rep       Date:  2017-12-11       Impact factor: 4.379

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 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

10.  Assessment of parturition with cervical light-induced fluorescence and uterine electromyography.

Authors:  Miha Lucovnik; Ruben J Kuon; Robert E Garfield
Journal:  Comput Math Methods Med       Date:  2013-09-29       Impact factor: 2.238

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