Abstract
Electrohysterography measures a bioelectrical activity of a uterus. The methods which were published up to date still give inaccurate labour prediction/prediction of labour. This paper presents an application of multivariate sample entropy to differentiated 4-channels electrohysterographical signals. This nonlinear measure uses joint information from a multivariated signals. The obtained results confirm that a differentiation may improve sensitivity of a multivariate sample entropy on a uterine bioelectrical activity. It enables to recognize uterine contractions in labor with the sensitivity equaled too 87% and the specificity about 85%. These results should be verified in a prospective study.
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Radomski, D.S. (2014). A Multivariate Sample Entropy of Differentiated Electrohysterographical Signals for an Identification of an Uterine Labor Activities. In: Piętka, E., Kawa, J., Wieclawek, W. (eds) Information Technologies in Biomedicine, Volume 4. Advances in Intelligent Systems and Computing, vol 284. Springer, Cham. https://doi.org/10.1007/978-3-319-06596-0_28
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DOI: https://doi.org/10.1007/978-3-319-06596-0_28
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-06595-3
Online ISBN: 978-3-319-06596-0
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