Feature Extraction from Uterus Signal and Image for Diagnosing Pregnancy Complications

Abstract

Preeclampsia is a disorder that arises during pregnancy which results in maternal death during delivery, fetal death in the womb and growth retention in infants based on the degree of severity and duration of onset. The markers for identification are found to be Strength of uterine muscles, Decreased velocity & volume of Uterine Artery, Poor placentation, Deficient in Remodeling of Spiral artery. The proposed work emphasis on extraction of features of EHG signal and Ultrasound Image of normal and suspected preeclampsia patients at second trimester to identify the condition at the earliest. The ability of the Uterine Muscle can be identified by recording of electrical activity of the uterus, by a device called Electrohysterograph that uses surface bipolar electrodes placed at various points in the lower abdominal of pregnant women that can indicate the possibility of Preterm labor. The anatomy of Uterus, an indicator of weaker cervix and anatomy of kidney can be analyzed by abdominal Ultrasound Imaging. Based on the combined analysis of images and signal along with the support of biochemical tests it is possible to identify the disease at the start of second trimester.