A nonlinear parameterization of multivariate electrohysterographical signals.
Electrohysterography is a technique which measures a bioelectrical activity of a uterus. This paper presents an application of a nonlinear parameterization of multivariate electrohysterographical signals for a uterine activity assessment to improve unsatisfactory a labor prediction accuracy by methods published in the literature. A multivariate sample entropy used for differentiated 4-channel electrohysterographical signals, general Spearman׳s correlation and a combined index being the sum of them, were tested. These nonlinear measures use joint information contained in a multivariate signal. The results confirm that the combined index provides the best assessment of uterine contractions: 87% sensitivity and 50% specificity of labor prediction in the studied data. These results should be verified in a prospective study.
Institute of Radioelectronics, Warsaw University of Technology, Nowowiejska 15/19, 00-665 Warsaw, Poland. Electronic address: d.radomski@ire.pw.edu.pl.
Dariusz S
DS
Radomski
D000465:Algorithms; D003936:Diagnosis, Computer-Assisted / Q000379:methods; D004576:Electromyography / Q000379:methods*; D005260:Female; D006801:Humans; D015999:Multivariate Analysis; D017711:Nonlinear Dynamics; D011247:Pregnancy / Q000502:physiology*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014590:Uterine Contraction / Q000502:physiology*; D018590:Uterine Monitoring / Q000379:methods*; D014599:Uterus / Q000502:physiology*
Electrohysterography; Multivariate sample entropy; Nonlinear signal analysis