• P3-0124 - Metabolic and inborn factors of reproductive health, birth III
The Client : Javna agencija za raziskovalno dejavnost RS ( P3-0124 )
Project type: ARRS research programmes
Project duration: 2020 - 2025
  • Description

The goal of the project is development of a predictive model
and identification of biomarkers to assess the risk of preterm
birth. Using signal processing methods to analyze uterine

records (electrohysterogram, EHG, signals accompanied by a

simultaneously recorded external tocogram, TOCO, measuring

mechanical uterine activity), and using machine learning methods,

we estimate the degree of the risk of spontaneous preterm birth.

Researches include development of software for visualizing the

signals and expert annotating of the records, characterization

and estimation of the signals using linear and non-linear signal

processing techniques in time and frequency domain, mathematically

modeling the electro-mechanical activities of the uterus, and

development of automatic methods for predicting preterm birth.