Analysis of fetal heart rate in healthy and pathological pregnancies using wavelet-based features

Kyriaki K. Spyridou, Leontios J. Hadjileontiadis

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

13 Scopus citations

Abstract

In this paper, a new approach for feature extraction from the Fetal Heart Rate (FHR) signal is introduced. It considers the use of Continuous Wavelet Transform to extract wavelet-based features of FHR signal in order to discriminate the normal from the abnormal cases. The proposed methodology is tested on real data acquired before the beginning or during labor. The results proved the viability of the approach and its potential for further application.

Original languageBritish English
Title of host publication29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07
Pages1908-1911
Number of pages4
DOIs
StatePublished - 2007
Event29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07 - Lyon, France
Duration: 23 Aug 200726 Aug 2007

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
ISSN (Print)0589-1019

Conference

Conference29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07
Country/TerritoryFrance
CityLyon
Period23/08/0726/08/07

Keywords

  • Cardiotocogram
  • Continuous wavelet transform
  • Discrimination
  • Gestational diabetes
  • Wavelet-based features

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