Paper Info
Title
Automated Conduction Velocity Analysis in the Electrohysterogram for Prediction of Imminent Delivery: A Preliminary Study.
Abstract
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. Study Goal. Investigating the feasibility of automated analysis of the EHG conduction velocity (CV) for detecting imminent delivery. Materials and 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). Conclusion. 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.
Year
DOI
Venue
2013
10.1155/2013/627976
COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE
Keywords
Field
DocType
cohort studies,prospective studies,predictive value of tests
Reproducibility,Nerve conduction velocity,Internal medicine,Tocodynamometer,Clinical Practice,Cardiology,Electrode Grid,Artificial intelligence,Surgery,Medicine,Machine learning
Journal
Volume
ISSN
Citations 
2013
1748-670X
1
PageRank 
References 
Authors
0.39
3
6
Name
Order
Citations
PageRank
Hinke de Lau151.22
Chiara Rabotti27513.41
Rianne Bijloo310.39
Michael Johannes Rooijakkers4263.02
Mischi, M.512533.30
S G Oei6315.00