A nonlinear parameterization of multivariate electrohysterographical signals

作者：Radomski Dariusz S^*

来源：Computers in Biology and Medicine, 2015, 67: 13-20.

DOI：10.1016/j.compbiomed.2015.10.005

• Electrohysterography
• Multivariate sample entropy
• Nonlinear signal analysis

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.

• 出版日期2015-12-1