@inproceedings{062e82a1c8924575998b5ce5cf064666,
title = "Classification of the fetal monitoring signals using fuzzy scoring system",
abstract = "Cardiotocography is a biophysical method of fetal monitoring based on analysis of fetal heart activity. The computerized fetal monitoring systems provide the quantitative description of the recorded signals but the effective methods supporting the conclusion generation are still needed. The quantitative description of the traces is inconsistent with qualitative nature of the obstetric knowledge. Therefore, we applied the fuzzy system based on Takagi-Sugeno-Kang model to evaluate and classify the signals. The FIGO guidelines were used for developing a set of fuzzy conditional rules defining the system performance. The system was evaluated with database from computerized fetal surveillance system. The classification results confirm the improvement of the fetal state evaluation quality while using the proposed fuzzy system support.",
keywords = "cardiotocography, fetal heart rate, fetal monitoring, fuzzy logic, signal classification",
author = "R. Czabanski and M. Jezewski and J. Wrobel and J. Jezewski and K. Horoba",
year = "2013",
doi = "10.1007/978-3-642-21198-0\_216",
language = "English",
isbn = "9783642211973",
series = "IFMBE Proceedings",
pages = "850--853",
booktitle = "V Latin American Congress on Biomedical Engineering, CLAIB 2011",
note = "5th Latin American Congress on Biomedical Engineering, CLAIB 2011 ; Conference date: 16-05-2011 Through 21-05-2011",
}