Automated conduction velocity analysis in the electrohysterogram for prediction of imminent delivery: a preliminary study.
BACKGROUND
Analysis of the electrohysterogram (EHG) is a promising diagnostic tool for preterm delivery. For the introduction in the clinical practice, analysis of the EHG should be reliable and automated to guarantee reproducibility.


OBJECTIVE
Investigating the feasibility of automated analysis of the EHG conduction velocity (CV) for detecting imminent delivery.


METHODS
Twenty-two patients presenting with uterine contractions (7 preterm) were included. An EHG was obtained noninvasively using a 64-channel high-density electrode grid. Contractions were selected based on the estimated intrauterine pressure derived from the EHG, the tocodynamometer, and maternal perception. Within the selected contractions, the CV vector was identified in two dimensions.


RESULTS
Nine patients delivered within 24 hours and were classified as a labor group. 64 contractions were analyzed; the average amplitude of the CV vector was significantly higher for the labor group, 8.65 cm/s ± 1.90, compared to the nonlabor group, 5.30 cm/s ± 1.47 (P < 0.01).


CONCLUSIONS
The amplitude of the CV is a promising parameter for predicting imminent (preterm) delivery. Automated estimation of this parameter from the EHG signal is feasible and should be regarded as an important prerequisite for future clinical studies and applications.
Maxima Medical Center, P.O. Box 7777, 5500 MB Veldhoven, The Netherlands.
Hinke
H
de Lau
Department of Electrical Engineering, University of Technology Eindhoven, Eindhoven, The Netherlands.
Chiara
C
Rabotti
Maxima Medical Center, P.O. Box 7777, 5500 MB Veldhoven, The Netherlands.
Rianne
R
Bijloo
Department of Electrical Engineering, University of Technology Eindhoven, Eindhoven, The Netherlands.
Michael Johannes
MJ
Rooijakkers
Department of Electrical Engineering, University of Technology Eindhoven, Eindhoven, The Netherlands.
Massimo
M
Mischi
Maxima Medical Center, P.O. Box 7777, 5500 MB Veldhoven, The Netherlands.
S Guid
SG
Oei
D015331:Cohort Studies; D004576:Electromyography / Q000295:instrumentation / Q000379:methods* / Q000592:standards; D005260:Female; D006801:Humans; D007752:Obstetric Labor, Premature / Q000175:diagnosis*; D011237:Predictive Value of Tests; D011247:Pregnancy; D011446:Prospective Studies; D014590:Uterine Contraction / Q000502:physiology*