Next Article in Journal
Comparison of Different Neural Network Approaches for the Tropospheric Profiling over the Inter-tropical lands Using GPS Radio Occultation Data
Next Article in Special Issue
The Autonomous Stress Indicator for Remotely Monitoring Power System State and Watching for Potential Instability
Previous Article in Journal
A Finite Element Flux-Corrected Transport Method for Wave Propagation in Heterogeneous Solids
Previous Article in Special Issue
Design and Validation of a Ten-Port Waveguide Reflectometer Sensor: Application to Efficiency Measurement and Optimization of Microwave-Heating Ovens
Article Menu

Export Article

Open AccessReview
Algorithms 2009, 2(1), 19-30; doi:10.3390/a2010019

Neural Network Analysis and Evaluation of the Fetal Heart Rate

Department of Applied Physics, National Defense Academy, 1-10-20 Hashirimizu, Yokosuka, Kanagawa 239-8686, Japan
Professor Emeritus, Department of Obstetrics and Gynecology, Tottori University. Home: 3-125, Nadamachi, Yonago, Tottori, 683-0835, Japan
Department of Information Technology, TOITU Ltd., 1-5-10, Ebisu-west, Shibuyaku, Tokyo, 150-0021, Japan
Author to whom correspondence should be addressed.
Received: 21 November 2008 / Revised: 4 January 2009 / Accepted: 8 January 2009 / Published: 16 January 2009
(This article belongs to the Special Issue Neural Networks and Sensors)
View Full-Text   |   Download PDF [344 KB, uploaded 16 January 2009]   |  


The aim of the present study is to obtain a highly objective automatic fetal heart rate (FHR) diagnosis. The neural network software was composed of three layers with the back propagation, to which 8 FHR data, including sinusoidal FHR, were input and the system was educated by the data of 20 cases with a known outcome. The output was the probability of a normal, intermediate, or pathologic outcome. The neural index studied prolonged monitoring. The neonatal states and the FHR score strongly correlated with the outcome probability. The neural index diagnosis was correct. The completed software was transferred to other computers, where the system function was correct. View Full-Text
Keywords: Neural network; fetus; neonate; fetal heart rate (FHR); sinusoidal FHR; non-reassuring fetal status; neonatal asphyxia Neural network; fetus; neonate; fetal heart rate (FHR); sinusoidal FHR; non-reassuring fetal status; neonatal asphyxia

Figure 1

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Noguchi, Y.; Matsumoto, F.; Maeda, K.; Nagasawa, T. Neural Network Analysis and Evaluation of the Fetal Heart Rate. Algorithms 2009, 2, 19-30.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Algorithms EISSN 1999-4893 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top