Categorization of Fetal Heart Rate Patterns Using Neural Networks

@article{LiszkaHackzell2001CategorizationOF,
  title={Categorization of Fetal Heart Rate Patterns Using Neural Networks},
  author={John J. Liszka-Hackzell},
  journal={Journal of Medical Systems},
  year={2001},
  volume={25},
  pages={269-276}
}
Digitized data from CTG (cardiotocography) measurements (fetal heart rate and uterine contractions) have been used for categorization of typical heart rate patterns before and during delivery. Short time series of CTG data, about 7 min duration, have been used in the categorization process. In the first part of the study, selected CTG data corresponding to 10 typical cases were used for purely auto associative unsupervised training of a Self-Organizing Map Neural Network (SOM). The network may… CONTINUE READING