Rajeshwari R, Department of Biomedical Engineering, KPR Institute of Engineering & Technology,Coimbatore, India
Mythili Shanmugam, Department of Electronics & Communication Engineering, PSNA College of Engineering & Technology, Coimbatore, India
Geetha Devasena M. S, Department of Computer Science Engineering, Sri Ramakrishna Engineering College, Coimbatore, India
Gopu Govindasamy, Department of Electronics & Communication Engineering, Sri Ramakrishna Engineering College, Coimbatore, India
BalaMurugesh R, CEO,Silicon Sytems, Coimbatore, India
Online First : 30 December 2020
Publisher Name : IJAICT India Publications, India.
Print ISBN : 978-81-950008-0-7
Online ISBN : 978-81-950008-1-4
Page :459-463
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.
Keywords
Electrohysterograph, Abdominal Ultrasound Imaging, Second Trimester.
Cite this article
Rajeshwari R, Mythili Shanmugam, Geetha Devasena M, Gopu Govindasamy and BalaMurugesh R, “Feature Extraction from Uterus Signal and Image for Diagnosing Pregnancy Complications”, Innovations in Information and Communication Technology, pp.459-463, December 2020.
Copyright
© 2020 Rajeshwari R, Mythili Shanmugam, Geetha Devasena M, Gopu Govindasamy and BalaMurugesh R. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
