Computer-aided fetus analysis and diagnosis system using fetal heart rate

C. H. Wu, C. H. Yu, A. T. Lin

Research output: Contribution to journalArticlepeer-review

Abstract

Antepartum Cardiotocography (CTG) is one of the few techniques available today to assess fetal conditions in high-risk pregnancies. Visual interpretation of CTG traces is unreliable due to the intra- and inter- observer variability. In order to eliminate observer variability and to increase the accuracy of CTG, computer analysis of fetal heart rate (FHR) patterns is introduced. The experience with computerized systems has shown that the best indicator of fetal conditions is long- or short-term variation. The availability of numerical measurements enables the detection of small changes in FHR occurring in time, so when initial deterioration signs arise, the fetus can be followed up longitudinally. In our approach, these fetal heart rate signals had been collected and used to establish a fetal heart rate analysis and diagnosis system using discrete wavelet transform. We applied this system to clinical use. Feedback information was collected and used to improve the system performance. Using the signal, this system can provide an objective suggestion and a more reliable assessment of at risk fetuses.

Original languageEnglish
Pages (from-to)233-243
Number of pages11
JournalChinese Journal of Medical and Biological Engineering
Volume18
Issue number4
Publication statusPublished - 1998 Dec 1

All Science Journal Classification (ASJC) codes

  • Biophysics

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