Computerized Interpretation of Cardiotocographs Using Kubli Score

Niranjana Krupa, F. M. Hasan, M. A Mohd Ali, E. Zahedi

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    The purpose of this work is to interpret cardiotocograph recordings by estimating kubli score in order to find out the presence of antepartum morbidity in cardiotocograph (CTG) recordings. The Kubli score is a tool used to evaluate a non-stress test (NST). It works very much like an Apgar Score in that there are 5 criteria to be assessed, baseline rate, amplitude of fluctuations, frequency of fluctuations, deceleration and acceleration pattern, and each will be assigned a score of 0, 1, or 2, for a maximum total of 10. The advantage of the Kubli score is that it is systematic and specific. This communication tool helps clinicians to have a visual image of the immediate fetal status. Using the Kubli score the NST can be interpreted as normal, equivocal, and ominous with a score ranging from 8-10, 5-7 and 1-4 respectively. In our study, all the patterns (baseline, amplitude, frequency, deceleration and acceleration) necessary for estimating the Kubli score are recognized using algorithms implemented using JAVA 1.5. The generated Kubli score is used to assess the CTG recordings. A set of cardiotocograph recordings from the patients at a gestational age of >32 weeks are interpreted using the algorithm. For the same set of data experts interpretations are recorded and stored. The computerized interpretation results are compared with the results from manual CTG interpretation using Bland Altman, a statistical method for method comparison. The entire process is tested on 15 CTG recordings. The results obtained this way shows that the CTG interpretation using Kubli Score is reliable and specific, especially, while rating amplitude of fluctuation and frequency of fluctuation. And also they offer major advantages compared to subjective assessment. A scoring system for fetal surveillance, like Kubli score, is a systematic way of interpreting antepartum cardiotocograph recordings.

    Original languageEnglish
    Title of host publicationIFMBE Proceedings
    Pages962-965
    Number of pages4
    Volume22
    DOIs
    Publication statusPublished - 2008
    Event4th European Conference of the International Federation for Medical and Biological Engineering, ECIFMBE 2008 - Antwerp
    Duration: 23 Nov 200827 Nov 2008

    Other

    Other4th European Conference of the International Federation for Medical and Biological Engineering, ECIFMBE 2008
    CityAntwerp
    Period23/11/0827/11/08

    Fingerprint

    Deceleration
    Statistical methods
    Communication

    Keywords

    • Cardiotocograph
    • Fetal Heart Rate
    • Fetal Surveillance
    • Kubli Score
    • Scoring System

    ASJC Scopus subject areas

    • Biomedical Engineering
    • Bioengineering

    Cite this

    Krupa, N., Hasan, F. M., Ali, M. A. M., & Zahedi, E. (2008). Computerized Interpretation of Cardiotocographs Using Kubli Score. In IFMBE Proceedings (Vol. 22, pp. 962-965) https://doi.org/10.1007/978-3-540-89208-3_229

    Computerized Interpretation of Cardiotocographs Using Kubli Score. / Krupa, Niranjana; Hasan, F. M.; Ali, M. A Mohd; Zahedi, E.

    IFMBE Proceedings. Vol. 22 2008. p. 962-965.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Krupa, N, Hasan, FM, Ali, MAM & Zahedi, E 2008, Computerized Interpretation of Cardiotocographs Using Kubli Score. in IFMBE Proceedings. vol. 22, pp. 962-965, 4th European Conference of the International Federation for Medical and Biological Engineering, ECIFMBE 2008, Antwerp, 23/11/08. https://doi.org/10.1007/978-3-540-89208-3_229
    Krupa N, Hasan FM, Ali MAM, Zahedi E. Computerized Interpretation of Cardiotocographs Using Kubli Score. In IFMBE Proceedings. Vol. 22. 2008. p. 962-965 https://doi.org/10.1007/978-3-540-89208-3_229
    Krupa, Niranjana ; Hasan, F. M. ; Ali, M. A Mohd ; Zahedi, E. / Computerized Interpretation of Cardiotocographs Using Kubli Score. IFMBE Proceedings. Vol. 22 2008. pp. 962-965
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