@inproceedings{a567343a28864af0bdb6fe69ca7a9c53,
title = "Automatic fetal head approximation using Particle Swarm Optimization based Gaussian Elliptical Path",
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).",
author = "Ma'Sum, {M. Anwar} and N. Rahmah and Sanabila, {H. R.} and Wisesa, {H. A.} and Wisnu Jatmiko",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; International Symposium on Micro-NanoMechatronics and Human Science, MHS 2015 ; Conference date: 23-11-2015 Through 25-11-2015",
year = "2016",
month = mar,
day = "21",
doi = "10.1109/MHS.2015.7438274",
language = "English",
series = "2015 International Symposium on Micro-NanoMechatronics and Human Science, MHS 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2015 International Symposium on Micro-NanoMechatronics and Human Science, MHS 2015",
address = "United States",
}