Automated Conduction Velocity Analysis in the Electrohysterogram for Prediction of Imminent Delivery : A Preliminary Study

Joint Authors

Rooijakkers, Michael Johannes
de Lau, Hinke
Mischi, Massimo
Rabotti, Chiara
Bijloo, Rianne
Oei, S. Guid

Source

Computational and Mathematical Methods in Medicine

Issue

Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2013-12-29

Country of Publication

Egypt

No. of Pages

7

Main Subjects

Medicine

Abstract EN

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.

American Psychological Association (APA)

de Lau, Hinke& Rabotti, Chiara& Bijloo, Rianne& Rooijakkers, Michael Johannes& Mischi, Massimo& Oei, S. Guid. 2013. Automated Conduction Velocity Analysis in the Electrohysterogram for Prediction of Imminent Delivery : A Preliminary Study. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-486336

Modern Language Association (MLA)

de Lau, Hinke…[et al.]. Automated Conduction Velocity Analysis in the Electrohysterogram for Prediction of Imminent Delivery : A Preliminary Study. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-486336

American Medical Association (AMA)

de Lau, Hinke& Rabotti, Chiara& Bijloo, Rianne& Rooijakkers, Michael Johannes& Mischi, Massimo& Oei, S. Guid. Automated Conduction Velocity Analysis in the Electrohysterogram for Prediction of Imminent Delivery : A Preliminary Study. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-486336

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-486336