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.
|Number of pages||11|
|Journal||Chinese Journal of Medical and Biological Engineering|
|Publication status||Published - 1998 Dec 1|
All Science Journal Classification (ASJC) codes