Header menu link for other important links
X
Fetal heart rate variability analysis from phonocardiographic recordings
V.S. Chourasia,
Published in WORLD SCIENTIFIC PUBL CO PTE LTD
2011
Volume: 11
   
Issue: 5
Pages: 1315 - 1331
Abstract
This paper presents an algorithm for classification of fetal health status using fetal heart rate variability (fHRV) analysis through phonocardiography. First, the fetal heart sound signals are acquired from the maternal abdominal surface using a specially developed Bluetooth-based wireless data recording system. Then, fetal heart rate (FHR) traces are derived from these signals. Ten numbers of linear and nonlinear features are extracted from each FHR trace. Finally, the multilayer perceptron (MLP) neural network is used to classify the health status of the fetus. Results show very promising performance toward the prediction of fetal wellbeing on the set of collected fetal heart sound signals. Finally, this work is likely to lead to an automatic screening device with additional potential of predicting fetal wellbeing. © 2011 World Scientific Publishing Company.
About the journal
JournalJournal of Mechanics in Medicine and Biology
PublisherWORLD SCIENTIFIC PUBL CO PTE LTD
ISSN02195194
Open AccessNo