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International Conference on Information Technology in Bio- and Medical Informatics

ITBAM 2013: Information Technology in Bio- and Medical Informatics pp 47–61Cite as

Automatic Evaluation of FHR Recordings from CTU-UHB CTG Database

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8060))

Abstract

Fetal heart rate (FHR) provides information about fetal well-being during labor. The FHR is usually the sole direct information channel from the fetus – undergoing the stress of labor – to the clinician who tries to detect possible ongoing hypoxia. For this paper, new CTU-UHB CTG database was used to compute more than 50 features. Features came from different domains ranging from classical morphological features based on FIGO guidelines to frequency-domain and non-linear features. Features were selected using the RELIEF (RELevance In Estimating Features) technique, and classified after applying Synthetic Minority Oversampling Technique (SMOTE) to the pathological class of the data. Nearest mean classifier with adaboost was used to obtain the final results. In results section besides the direct outcome of classification the top ten ranked features are presented.

An Erratum for this chapter can be found at http://dx.doi.org/10.1007/978-3-642-40093-3_12

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Author information

Authors and Affiliations

  1. Dept. of Cybernetics, Czech Technical University in Prague, Czech Republic

    Jiří Spilka, Václav Chudáček & Lenka Lhotská

  2. Dept. of Informatics and Communications Technology, TEI of Epirus, Arta, Greece

    George Georgoulas, Petros Karvelis, Vangelis P. Oikonomou & Chrysostomos Stylios

  3. Dept. of Gynecology and Obstetrics, Teaching Hospital of Masaryk University in Brno, Czech Republic

    Petr Janků

Authors
  1. Jiří Spilka
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  2. George Georgoulas
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  3. Petros Karvelis
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  4. Vangelis P. Oikonomou
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  5. Václav Chudáček
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  6. Chrysostomos Stylios
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  7. Lenka Lhotská
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  8. Petr Janků
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Editor information

Editors and Affiliations

  1. Faculty of Electrical Engineering, Department of Cybernetics, Czech Technical University in Prague, Technicka 2, 166 27, Prague 6, Czech Republic

    Miroslav Bursa

  2. Department of Computer Science, San Jose State University, One Washington Square, 95192-0249, San Jose, CA, USA

    Sami Khuri

  3. Istituto di Informatica e Telematica del CNR, Via G. Moruzzi 1, 56124, Pisa, Italy

    M. Elena Renda

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Spilka, J. et al. (2013). Automatic Evaluation of FHR Recordings from CTU-UHB CTG Database. In: Bursa, M., Khuri, S., Renda, M.E. (eds) Information Technology in Bio- and Medical Informatics. ITBAM 2013. Lecture Notes in Computer Science, vol 8060. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40093-3_4

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  • DOI: https://doi.org/10.1007/978-3-642-40093-3_4

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