L’électromyogramme utérin : principes et intérêt pour le diagnostic de travail prématuré

Doret, Muriel; Pasquier, Jean-Charles; Gharib, Claude; Gaucherand, P.

doi:10.1016/j.jgyn.2007.08.005

Cited by 10 publications

(5 citation statements)

References 38 publications

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“…It was demonstrated that these parameters are suitable for analyzing the uterine EMG recordings because they do not depend on the amplitude of the signal which seems to be affected by the distance of the electrodes from the pacemaker cells [15]. They can also give supplementary information about both excitation and propagation of electrical activity [1,6]; therefore, they are good representatives of contraction efficiency and are more reliable in predicting delivery. In our work, we demonstrated that median frequency presented the most discriminant values between the two considered classes (pregnancy and labor).…”

Section: Resultsmentioning

confidence: 99%

“…Numerous studies have analyzed the uterine EMG recordings associated with pregnancy and labor contractions. It was reported that it is of interest to offer a good insight into the process of pregnancy and labor [3,4]; therefore, it is potentially the best predictor of preterm labor [5,6,7]. Nowadays, classical statistical analysis in time and frequency domains has been widely explored.…”

Section: Introductionmentioning

confidence: 99%

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Classification performance of the frequency-related parameters derived from uterine EMG signals

Moslem

Karlsson

Diab³

et al. 2011

2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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Frequency-related parameters derived from the uterine electromyogram (EMG) signals are widely used in many pregnancy monitoring and preterm delivery prediction studies. Although they are classical parameters, they are well suited for quantifying uterine EMG signals and have many advantages over amplitude-related parameters. The present work aims to compare various frequency-related parameters according to their classification performances (pregnancy vs. labor) using the receiver operating characteristic (ROC) curve analysis. The comparison between the parameters indicates that median frequency is the best frequency-related parameter that can be used for distinguishing between pregnancy and labor contractions. We conclude that median frequency can be the representative frequency-related parameter for classification problems of uterine EMG.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Classification performance of the frequency-related parameters derived from uterine EMG signals

Moslem

Karlsson

Diab³

et al. 2011

2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

View full text Add to dashboard Cite

show abstract

“…The propagation is also limited. This condition favors quiescence of the myometrium and is essential for the maintenance of the pregnancy to ensure successful maturation of the fetus [1,2,3,4,5,6,16]. At labor, however, when the fetus is fully developed, the synchronization in the uterus is stronger.…”

Section: Discussionmentioning

confidence: 99%

“…It has been proved that it is of interest to offer a good insight into the process of pregnancy and labor [3,4]. Furthermore, uterine EMG was investigated in order to predict the risk of preterm labor and subsequent preterm birth [5,6].…”

Section: Introductionmentioning

confidence: 99%

Detrended Fluctuation Analysis of uterine electromyography

Moslem

Diab

Khalil

et al. 2011

2011 1st Middle East Conference on Biomedical Engineering

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In respect to the main goal of our ongoing work for predicting preterm birth, we analyze in this paper uterine EMG recordings of 11 pregnant and laboring women by means of Detrended Fluctuation Analysis (DFA), a scaling analysis method that quantifies a simple parameter to represent the correlation properties of a time series. Our study provides convincing evidence that pregnancy progress is typically associated to an alteration in the long-range correlation of the uterine EMG recordings. The results obtained from the analyzed data indicate that the correlation in the contractions increases during pregnancy. Furthermore, we demonstrate that the long-range parameter may discriminate between the two classes (pregnancy/labor). The results are supported by statistical analysis using t-test indicating good statistical significance with a confidence level of 95%. A surrogate data test is also performed to investigate the nature of the underlying dynamics of our experimental data. The results are very promising for monitoring pregnancy and detecting labor and may help identify preterm labor.

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“…EHG measures the potential difference between the electrodes [2], in a time domain. The electrical signals are not propagated by gap junctions.…”

Section: Electrohysterographymentioning

confidence: 99%

A Review on Different Artifacts Removal Techniques in Electrohysterogram

2017

IJRTER

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uterine contraction detection is fundamental component of pregnancy monitoring. Electrohysterogram (EHG) provides a non-invasive and accurate alternative to intra uterine pressure catheter (IUPC). EHG measures the electrical signal responsible for the uterine contractions. The signal is influenced by different artifacts, the removal of artifacts are essential for the accurate preterm birth prediction and detection. In this paper different monitoring techniques for uterine contractions and a comparison of different artifacts removal methods are also included. Keywords-EHG, Preterm contractions, Bandpass filtering, ICA. I. INTRODUCTION Preterm deliveries are the major problem in the field of obstetrics. It increases the infant mortality and morbidity rates. It is the most prominent contributor of infant deaths. By the World Health Organization (WHO) preterm birth is the onset of labor prior to the completion of 37 weeks of gestation but not beyond 20 weeks of gestation. Studies reported that India is the biggest contributor to the world prematurity burden. Preterm birth can occur due to various reasons. From studies, one of the preterm deliveries are due to medically induced labor. This type of labor is strictly undertaken for the wellbeing of mother or baby. Another reasons are rupturing of membrane, prior to the labor and due to the spontaneous contractions. Along with this several lifestyle and health factor like uterine abnormalities, infections, any invasive surgery, under weight or obese mother, long working hours, alcohol and drug use, diabetes, hypertension, folic acid deficiency will also lead to preterm labor. This indicates the need of reliable method for the early detection and prevention of preterm birth threats. Predicting and diagnosing preterm birth before it occurs generate a great interest because of its importance. Analysis of electrical activity of uterine muscles termed as Electrohysterography (EHG) or uterine Electromyography (EMG). EHG signal results from the propagation of electrical activity and gives the potential difference between the electrodes. There were several studies done to detect and predict preterm labor using EHG signal. Preprocessed EHG data is undergone with the feature extraction and classification process. Accuracy, specificity and sensitivity are the common performance metrics used in the related works. In this work we were included different artifact removal methods. Most of the authors were used filtering as an artifacts removal method [1] and also a new method using ICA is also discussed here. II. MONITORING UTERINE CONTRACTIONS Labor is the culmination of a period of pregnancy with the expulsion of one or more infants from a woman's uterus. The process of normal delivery is categorized in three stages of labor: the shortening and dilation of the cervix, descent and birth of the infant, and the expulsion of the placenta. This indicates the need of efficient technique to monitor the uterine contractions. Tocography is the technique used to monitor uterine contractions. I...

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L’électromyogramme utérin : principes et intérêt pour le diagnostic de travail prématuré

Cited by 10 publications

References 38 publications

Classification performance of the frequency-related parameters derived from uterine EMG signals

Classification performance of the frequency-related parameters derived from uterine EMG signals

Detrended Fluctuation Analysis of uterine electromyography

A Review on Different Artifacts Removal Techniques in Electrohysterogram

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