DocumentCode :
1553484
Title :
Use of the electrohysterogram signal for characterization of contractions during pregnancy
Author :
Leman, Hélène ; Marque, Catherine ; Gondry, Jean
Author_Institution :
Dept. of Biomed. Eng., Compiegne Univ., France
Volume :
46
Issue :
10
fYear :
1999
Firstpage :
1222
Lastpage :
1229
Abstract :
This article proposes a method to evaluate the ability of the electrohysterogram signal to characterize the contractions during pregnancy, in a population with high risk of preterm deliveries. This study constitutes a first stage of a project intended to develop a monitoring system for the early diagnosis of preterm deliveries. After a proper signal denoising, the authors calculate some parameters characteristic of the extracted contractions. These contractions are then divided into classes of different physiological terms. Classical techniques of data analysis, such as principal component analysis and discriminant analysis, permit the authors to show an evolution of the contractions during pregnancy, which is different between the groups of preterm deliveries and that of deliveries at term. The authors show that, in an early term of pregnancy, they can separate the two populations: women delivering at term from women delivering preterm. The authors then show that these two kinds of pregnancy are of different evolutions. These results are encouraging, because they would permit, in a follow-up medical study, to diagnose a possible preterm delivery, as well as the proximity of the delivery.
Keywords :
bioelectric potentials; medical signal processing; obstetrics; patient monitoring; principal component analysis; delivery proximity; discriminant analysis; early diagnosis; electrohysterogram signal; extracted contractions; follow-up medical study; monitoring system; pregnancy contractions characterization; preterm deliveries; signal denoising; Biomedical engineering; Biomedical monitoring; Data analysis; Data mining; Frequency; Medical diagnostic imaging; Pregnancy; Principal component analysis; Signal analysis; Signal denoising; Adult; Analysis of Variance; Discriminant Analysis; Female; Fetal Monitoring; Home Nursing; Humans; Obstetric Labor, Premature; Pregnancy; Pregnancy Trimester, Second; Pregnancy Trimester, Third; Signal Processing, Computer-Assisted; Uterine Contraction; Uterine Monitoring;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/10.790499
Filename :
790499
Link To Document :
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