TERRAIN: FETAL GROWTH TELEHEALTH SYSTEM BASED ON 2D FETAL HEAD IMAGE USING RANDOMIZED HOUGH TRANSFORM
Abstract: Intrauterine growth
restriction (IUGR) is one of many fetal abnormalities, which has high
contribution on maternal mortality rate and perinatal mortality rate in
Indonesia. Apparently, IUGR impact can be reduced if only the symptoms are
detected earlier and the correct treatment is applied. However, fetal growth
detection and monitoring process in Indonesia is obstructed because the number
of physicians is very limited and ultrasonography (USG) devices are expensive.
Moreover, both the physicians and USG devices are only available in big cities.
To answer those problems, this research proposed an intelligent system that can
provide fetal growth telemonitoring in rural areas. This system consists of
three components: portable USG device, mobile application which is developed
using Android operating system, and server application which is developed using
Django. The main feature of this system is automatic fetal head parameter
detection and its ability to operate in the limited internet access
environment. In this system, automatic fetal head parameter detection uses RHT
method to approximate fetal head̢۪s ellipse shape. Experiment result shows
that RHT detection ability with ̢蠠ellipse average of 79.564 and running time
average of 0.373 second.
Keywords: Intrauterine growth
restriction, ultrasonography, telemonitoring, automatic fetal head parameter
Author: Robeth Rahmatullah,
Ikhsanul Habibie, Petrus Mursanto, Sani Muhammad Isa
Journa Code: jptkomputergg140008
