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Analysis of FHR variability extracted from mechanical and electrical fetal heart activity signals

  • Institute of Medical Technology and Equipment

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

Abstract

Commonly used noninvasive fetal monitoring is based on fetal heart rate (FHR) variability analysis of the Doppler ultrasound signal coming from the mechanical activity of the fetal heart. However, in most of bedside monitors there is an invasive option that during a labor the FHR signal can be obtained directly from the scalp electrode. The determination of cardiac intervals using the Doppler ultrasound signal is more difficult than in electrocardiography, where the R-waves are evident. We investigated the influence of the signal acquisition methods on the FHR variability analysis. The LabView based instrumentation for simultaneous signal acquisition from two fetal monitor channels recording mechanical and electrical heart activity was developed. The 185 pairs of indices describing both the long- and the short-term FHR variability were calculated within one-minute windows. The results reveal that the accuracy of the ultrasound method is to low for reliable measurement of beat-to-beat intervals, what is particularly visible in the reduction of the short-term variability indices.

Original languageEnglish
Title of host publicationV Latin American Congress on Biomedical Engineering, CLAIB 2011
Subtitle of host publicationSustainable Technologies for the Health of All
Pages1074-1077
Number of pages4
DOIs
Publication statusPublished - 2013
Event5th Latin American Congress on Biomedical Engineering, CLAIB 2011 - Habana, Cuba
Duration: 16 May 201121 May 2011

Publication series

NameIFMBE Proceedings
Volume33 IFMBE
ISSN (Print)1680-0737

Conference

Conference5th Latin American Congress on Biomedical Engineering, CLAIB 2011
Country/TerritoryCuba
CityHabana
Period16/05/1121/05/11

Keywords

  • Doppler ultrasound
  • fetal heart rate
  • fetal monitoring

ASJC Scopus subject areas

  • Bioengineering
  • Biomedical Engineering

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