Predicting the Risk of Low-Fetal Birth Weight From Cardiotocographic Signals Using ANBLIR System With Deterministic Annealing and ${\bm \varepsilon}$ -Insensitive Learning

@article{Czabanski2010PredictingTR,
  title={Predicting the Risk of Low-Fetal Birth Weight From Cardiotocographic Signals Using ANBLIR System With Deterministic Annealing and \$\{\bm \varepsilon\}\$  -Insensitive Learning},
  author={Robert Czabanski and Michal Jezewski and Janusz Wrobel and Janusz Jezewski and Krzysztof Horoba},
  journal={IEEE Transactions on Information Technology in Biomedicine},
  year={2010},
  volume={14},
  pages={1062-1074}
}
Cardiotocography (CTG) is a biophysical method of fetal condition assessment based mainly on recording and automated analysis of fetal heart activity. The computerized fetal monitoring systems provide the quantitative description of the CTG signals, but the effective conclusion generation methods for decision process support are still needed. Assessment of the fetal state can be verified only after delivery using the fetal (newborn) outcome data. One of the most important features defining the… CONTINUE READING

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