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

BMC Pregnancy and Childbirth

Volumn 7, Issue SUPPL. 1, 2007, Pages

  Marque, Catherine K ^a   Terrien, Jérémy ^a   Rihana, Sandy ^a   Germain, Guy ^b  

^a UNIVERSITÉ DE TECHNOLOGIE DE COMPIÈGNE   (France)

^b INRA Institut National de la Recherche Agronomique   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ANIMAL EXPERIMENT; CONFERENCE PAPER; CONTROLLED STUDY; DELIVERY; EARLY DIAGNOSIS; ELECTRODE; ELECTROMYOGRAPHY; FEMALE; GESTATIONAL AGE; HUMAN; HYSTEROGRAPHY; MAJOR CLINICAL STUDY; MATHEMATICAL MODEL; MONKEY; NONHUMAN; PLACENTA; PREMATURE LABOR; RISK ASSESSMENT; SIGNAL NOISE RATIO; SIGNAL PROCESSING; SIMULATION; UTERUS CONTRACTILITY; UTERUS CONTRACTION; ADULT; ARTICLE; METHODOLOGY; MONITORING; NEWBORN; PHYSIOLOGY; PREGNANCY; PREGNANCY OUTCOME; PRENATAL DIAGNOSIS; RISK FACTOR; THIRD TRIMESTER PREGNANCY; UTERUS;

ADULT; ELECTROMYOGRAPHY; FEMALE; HUMANS; INFANT, NEWBORN; MONITORING, PHYSIOLOGIC; OBSTETRIC LABOR, PREMATURE; PLACENTA; PREGNANCY; PREGNANCY OUTCOME; PREGNANCY TRIMESTER, THIRD; PRENATAL DIAGNOSIS; RISK FACTORS; UTERINE CONTRACTION; UTERUS;

EID: 34548025843     PISSN: None     EISSN: 14712393     Source Type: Journal    
DOI: 10.1186/1471-2393-7-S1-S5     Document Type: Conference Paper

References (16)

1. Devedeux D Marque C Mansour S Germain G Duchene J Uterine electromyography: A critical review Am J Obstet Gynecol 1993, 169:1636-53 8267082
2. 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 15802412
3. 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 9579450
4. 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 3817852
5. Gondry J Marque C Duchene J Cabrol D Electrohysterography during pregnancy: Preliminary report Biomed Instrum Technol 1993, 27:318-24 8369867
6. 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) Strasbourg: Univ Louis Pasteur Anderson JR, Roeder JJ, Thierry B, Herrenschmidt N 1994
7. 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 10513127
8. 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. 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 10624744
10. 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 10943048
11. Leman H Marque C Ridge extraction from the scalogram of the uterine electromyogram TFTS 1998; Pittsburg, USA 1998
12. Comon P Classification supervisée par réseaux multicouches Traitement du Signal 1991, 8:387-407
13. Bishop CM Neural network for pattern recognition Oxford University Press edn. Oxford 1995
14. Foresee FD Hagan MT Gauss-Newton approximation to Bayesian regularization Internat Joint Conf on Neural Network 1997, 1930-1935
15. 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 Compiègne: Université de Technologie de Compiègne 1999
16. Zhang Q Benveniste A Wavelet networks IEEE Trans Neural Network 1992, 32:889-98 10.1109/72.165591