Skip to main content
Top
Published in: BMC Pregnancy and Childbirth 1/2007

Open Access 01-06-2007 | Proceedings

Preterm labour detection by use of a biophysical marker: the uterine electrical activity

Authors: Catherine K Marque, Jérémy Terrien, Sandy Rihana, Guy Germain

Published in: BMC Pregnancy and Childbirth | Special Issue 1/2007

Login to get access

Abstract

Background

The electrical activity of the uterine muscle is representative of uterine contractility. Its characterization may be used to detect a potential risk of preterm delivery in women, even at an early gestational stage.

Methods

We have investigated the effect of the recording electrode position on the spectral content of the signal by using a mathematical model of the women's abdomen. We have then compared the simulated results to actual recordings. On signals with noise reduced with a dedicated algorithm, we have characterized the main frequency components of the signal spectrum in order to compute parameters indicative of different situations: preterm contractions resulting nonetheless in term delivery (i.e. normal contractions) and preterm contractions leading to preterm delivery (i.e. high-risk contractions). A diagnosis system permitted us to discriminate between these different categories of contractions. As the position of the placenta seems to affect the frequency content of electrical activity, we have also investigated in monkeys, with internal electrodes attached on the uterus, the effect of the placenta on the spectral content of the electrical signals.

Results

In women, the best electrode position was the median vertical axis of the abdomen. The discrimination between high risk and normal contractions showed that it was possible to detect a risk of preterm labour as early as at the 27th week of pregnancy (Misclassification Rate range: 11–19.5%). Placental influence on electrical signals was evidenced in animal recordings, with higher energy content in high frequency bands, for signals recorded away from the placenta when compared to signals recorded above the placental insertion. However, we noticed, from pregnancy to labour, a similar evolution of the frequency content of the signal towards high frequencies, whatever the relative position of electrodes and placenta.

Conclusion

On human recordings, this study has proved that it is possible to detect, by non-invasive abdominal recordings, a risk of preterm birth as early as the 27th week of pregnancy. On animal signals, we have evidenced that the placenta exerts a local influence on the characteristics of the electrical activity of the uterus. However, these differences have a small influence on premature delivery risk diagnosis when using proper diagnosis tools.
Literature
1.
go back to reference Devedeux D, Marque C, Mansour S, Germain G, Duchene J: Uterine electromyography: a critical review. Am J Obstet Gynecol. 1993, 169: 1636-53.CrossRefPubMed Devedeux D, Marque C, Mansour S, Germain G, Duchene J: Uterine electromyography: a critical review. Am J Obstet Gynecol. 1993, 169: 1636-53.CrossRefPubMed
2.
go back to reference Doret M, Bukowski R, Longo M, Maul H, Maner WL, Garfield RE, Saade GR: Uterine electromyography characteristics for early diagnosis of mifepristone-induced preterm labor. Obstet Gynecol. 2005, 105: 822-30.CrossRefPubMed Doret M, Bukowski R, Longo M, Maul H, Maner WL, Garfield RE, Saade GR: Uterine electromyography characteristics for early diagnosis of mifepristone-induced preterm labor. Obstet Gynecol. 2005, 105: 822-30.CrossRefPubMed
3.
go back to reference Buhimschi C, Boyle MB, Saade GR, Garfield RE: Uterine activity during pregnancy and labor assessed by simultaneous recordings from the myometrium and abdominal surface in the rat. Am J Obstet Gynecol. 1998, 178: 811-22. 10.1016/S0002-9378(98)70498-3.CrossRefPubMed Buhimschi C, Boyle MB, Saade GR, Garfield RE: Uterine activity during pregnancy and labor assessed by simultaneous recordings from the myometrium and abdominal surface in the rat. Am J Obstet Gynecol. 1998, 178: 811-22. 10.1016/S0002-9378(98)70498-3.CrossRefPubMed
4.
go back to reference Marque C, Duchene JM, Leclercq S, Panczer GS, Chaumont J: Uterine EHG processing for obstetrical monitoring. IEEE Trans Biomed Eng. 1986, 33: 1182-7. 10.1109/TBME.1986.325698.CrossRefPubMed Marque C, Duchene JM, Leclercq S, Panczer GS, Chaumont J: Uterine EHG processing for obstetrical monitoring. IEEE Trans Biomed Eng. 1986, 33: 1182-7. 10.1109/TBME.1986.325698.CrossRefPubMed
5.
go back to reference Gondry J, Marque C, Duchene J, Cabrol D: Electrohysterography during pregnancy: preliminary report. Biomed Instrum Technol. 1993, 27: 318-24.PubMed Gondry J, Marque C, Duchene J, Cabrol D: Electrohysterography during pregnancy: preliminary report. Biomed Instrum Technol. 1993, 27: 318-24.PubMed
6.
go back to reference Mansour S, Devedeux D, Duchêne J, Germain G, Marque C: Internal and external uterine electromyography : Spectral analysis and relationship with mechanical activity in the pregnant cynomolgus monkey (Macaca fascicularis). Edited by: Anderson JR, Roeder JJ, Thierry B, Herrenschmidt N. 1994, Strasbourg: Univ Louis Pasteur Mansour S, Devedeux D, Duchêne J, Germain G, Marque C: Internal and external uterine electromyography : Spectral analysis and relationship with mechanical activity in the pregnant cynomolgus monkey (Macaca fascicularis). Edited by: Anderson JR, Roeder JJ, Thierry B, Herrenschmidt N. 1994, Strasbourg: Univ Louis Pasteur
7.
go back to reference Leman H, Marque C, Gondry J: Use of the electrohysterogram signal for characterization of contractions during pregnancy. IEEE Trans Biomed Eng. 1999, 46: 1222-9. 10.1109/10.790499.CrossRefPubMed Leman H, Marque C, Gondry J: Use of the electrohysterogram signal for characterization of contractions during pregnancy. IEEE Trans Biomed Eng. 1999, 46: 1222-9. 10.1109/10.790499.CrossRefPubMed
8.
go back to reference Voisine ML, Marque C, Leman H, Gondry J: Analysis of uterine electromyogram for the monitoring of preterm birth. Instrumentation developpement and data analysis. 4th BSI International Workshop; Como, Italie. 2002, 75-78. Voisine ML, Marque C, Leman H, Gondry J: Analysis of uterine electromyogram for the monitoring of preterm birth. Instrumentation developpement and data analysis. 4th BSI International Workshop; Como, Italie. 2002, 75-78.
9.
go back to reference Farina D, Rainoldi A: Compensation of the effect of sub-cutaneous tissue layers on surface EMG: a simulation study. Med Eng Phys. 1999, 21: 487-97. 10.1016/S1350-4533(99)00075-2.CrossRefPubMed Farina D, Rainoldi A: Compensation of the effect of sub-cutaneous tissue layers on surface EMG: a simulation study. Med Eng Phys. 1999, 21: 487-97. 10.1016/S1350-4533(99)00075-2.CrossRefPubMed
10.
go back to reference Leman H, Marque C: Rejection of the maternal electrocardiogram in the electrohysterogram signal. IEEE Trans Biomed Eng. 2000, 47: 1010-7. 10.1109/10.855927.CrossRefPubMed Leman H, Marque C: Rejection of the maternal electrocardiogram in the electrohysterogram signal. IEEE Trans Biomed Eng. 2000, 47: 1010-7. 10.1109/10.855927.CrossRefPubMed
11.
go back to reference Leman H, Marque C: Ridge extraction from the scalogram of the uterine electromyogram. TFTS 1998; Pittsburg, USA. 1998 Leman H, Marque C: Ridge extraction from the scalogram of the uterine electromyogram. TFTS 1998; Pittsburg, USA. 1998
12.
go back to reference Comon P: Classification supervisée par réseaux multicouches. Traitement du Signal. 1991, 8: 387-407. Comon P: Classification supervisée par réseaux multicouches. Traitement du Signal. 1991, 8: 387-407.
13.
go back to reference Bishop CM: Neural network for pattern recognition. 1995, Oxford University Press edn. Oxford Bishop CM: Neural network for pattern recognition. 1995, Oxford University Press edn. Oxford
14.
go back to reference Foresee FD, Hagan MT: Gauss-Newton approximation to Bayesian regularization. Internat Joint Conf on Neural Network. 1997, 1930-1935. Foresee FD, Hagan MT: Gauss-Newton approximation to Bayesian regularization. Internat Joint Conf on Neural Network. 1997, 1930-1935.
15.
go back to reference Leman H: Apport des ondelettes dans le traitement de l'électromyogramme utérin abdominal : caractérisation des contractions pendant la grossesse pour la détection des menaces d'accouchement prématuré. PhD Thesis. 1999, Compiègne: Université de Technologie de Compiègne Leman H: Apport des ondelettes dans le traitement de l'électromyogramme utérin abdominal : caractérisation des contractions pendant la grossesse pour la détection des menaces d'accouchement prématuré. PhD Thesis. 1999, Compiègne: Université de Technologie de Compiègne
16.
go back to reference Zhang Q, Benveniste A: Wavelet networks. IEEE Trans Neural Network. 1992, 32: 889-98. 10.1109/72.165591.CrossRef Zhang Q, Benveniste A: Wavelet networks. IEEE Trans Neural Network. 1992, 32: 889-98. 10.1109/72.165591.CrossRef
Metadata
Title
Preterm labour detection by use of a biophysical marker: the uterine electrical activity
Authors
Catherine K Marque
Jérémy Terrien
Sandy Rihana
Guy Germain
Publication date
01-06-2007
Publisher
BioMed Central
Published in
BMC Pregnancy and Childbirth / Issue Special Issue 1/2007
Electronic ISSN: 1471-2393
DOI
https://doi.org/10.1186/1471-2393-7-S1-S5

Other articles of this Special Issue 1/2007

BMC Pregnancy and Childbirth 1/2007 Go to the issue