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Reducing influence of doppler ultrasound signal processing techniques on fetal heart rate variability

  • Janusz Wrobel
  • , Janusz Jezewski
  • , Dawid Roj
  • , Tomasz Przybyla
  • , Adam Matonia
  • Institute of Medical Technology and Equipment

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

Abstract

Commonly used noninvasive fetal monitoring is aimed at evaluation of fetal well-being, which is done by variability analysis of fetal heart rate (FHR). The FHR signal is usually provided by fetal monitors which operate on the Doppler ultrasound (US) signal coming from the mechanical activity of the fetal heart. Although the measurement accuracy of today's fetal monitors is quite satisfactory comparing to the reference direct electrocardiography, the FHR variability indices obtained from US signal are considerably decreased, thus, their clinical value is rather low. The effect of underestimation of the FHR variability was recognized for a given type of fetal monitor as being related to an autocorrelation technique applied for periodicity measurement. In order to reduce this error we proposed a correction method which relies upon removing of the constant error component caused by averaging nature of the autocorrelation. The random error component is still present, but the reliability of short-term FHR variability assessment in global perspective (for example one-hour monitoring record) was significantly improved.

Original languageEnglish
Title of host publicationSelected Topics in Applied Computer Science - 10th WSEAS International Conference on Applied Computer Science, ACS'10
Pages128-133
Number of pages6
Publication statusPublished - 2010
Event10th WSEAS International Conference on Applied Computer Science, ACS'10 - Iwate, Japan
Duration: 4 Oct 20106 Oct 2010

Publication series

NameInternational Conference on Applied Computer Science - Proceedings
ISSN (Print)1792-4863

Conference

Conference10th WSEAS International Conference on Applied Computer Science, ACS'10
Country/TerritoryJapan
CityIwate
Period4/10/106/10/10

Keywords

  • Biomedical signal processing
  • Fetal heart rate variability
  • Fetal monitoring
  • Instrumentation
  • Measurement error
  • Periodicity measurement

ASJC Scopus subject areas

  • Computer Science (miscellaneous)

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