Preterm Birth Analysis Using Nonlinear Methods (a preliminary study)

TL;DR

This paper reviews nonlinear analysis techniques applied to uterine contraction signals to improve understanding, prediction, and control of preterm birth, highlighting their potential in medical diagnostics.

Contribution

It introduces the application of modern nonlinear methods to analyze uterine signals for preterm birth prediction and management, offering a new approach in obstetric research.

Findings

Nonlinear methods can reveal physiological changes during pregnancy.

Analysis of uterine signals aids in preterm birth prediction.

Potential for improved preterm labor control strategies.

Abstract

In this report we review modern nonlinearity methods that can be used in the preterm birth analysis. The nonlinear analysis of uterine contraction signals can provide information regarding physiological changes during the menstrual cycle and pregnancy. This information can be used both for the preterm birth prediction and the preterm labor control. Keywords: preterm birth, complex data analysis, nonlinear methods