Automatic fetal head approximation using Particle Swarm Optimization based Gaussian Elliptical Path

M. Anwar Ma'Sum, N. Rahmah, H. R. Sanabila, H. A. Wisesa, Wisnu Jatmiko

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

The number of maternal and infant mortality in Indonesia is high due to the lack of fetal monitoring. In addition, the number of Obstetrics and Gynecology is limited and it centralized in urban area. In order to resolve that problem, we have built fetal head monitoring system. In this work we examine Particle Swarm Optimization for Gaussian Elliptical Path in automatic fetal head approximation. Particle Swarm Optimization is employ for optimizing ellipse fitting optimization in Gaussian Elliptical Path. Based on the experiment result, Particle Swarm Optimization Based Gaussian Elliptical Path (DoGEll-PSO) has a minimum error compared to Gaussian Elliptical Path (DoGEll).

Original languageEnglish
Title of host publication2015 International Symposium on Micro-NanoMechatronics and Human Science, MHS 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479966783
DOIs
Publication statusPublished - 21 Mar 2016
EventInternational Symposium on Micro-NanoMechatronics and Human Science, MHS 2015 - Nagoya, Japan
Duration: 23 Nov 201525 Nov 2015

Publication series

Name2015 International Symposium on Micro-NanoMechatronics and Human Science, MHS 2015

Conference

ConferenceInternational Symposium on Micro-NanoMechatronics and Human Science, MHS 2015
Country/TerritoryJapan
CityNagoya
Period23/11/1525/11/15

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