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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 427))

Abstract

This article is dedicated to the design and implementation of a software simulator of the fetal ECG signal (fECG). Primarily, it aims at modelling the influence of physiological and pathological changes. Fetal electrocardiogram is a valuable carrier of information and its potential can be utilized in the diagnosis of hypoxic conditions. Analysis of real records and study of methods intended for obtaining the ECG signal in clinical practice resulted in creating a simulator of fECG waveforms based on virtual instrumentation. In a suitable user environment, the signal formed in this manner can be combined with physiological and pathological parameters that modify the signal. The respective changes can be observed and analysed with the help of graphical output elements of the user interface. The generator allows the user to model the transvaginal monitoring method (invasive), transabdominal monitoring method (non-invasive) and cardiotocograph (CTG) with ST analyser (STAN). Due to their morphology, the simulation results correlate with the established theoretical assumptions and approximate to real records.

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Correspondence to Radek Martinek .

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Martinek, R. et al. (2016). Modelling of Fetal Hypoxic Conditions Based on Virtual Instrumentation. In: Abraham, A., Wegrzyn-Wolska, K., Hassanien, A., Snasel, V., Alimi, A. (eds) Proceedings of the Second International Afro-European Conference for Industrial Advancement AECIA 2015. Advances in Intelligent Systems and Computing, vol 427. Springer, Cham. https://doi.org/10.1007/978-3-319-29504-6_25

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  • DOI: https://doi.org/10.1007/978-3-319-29504-6_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-29503-9

  • Online ISBN: 978-3-319-29504-6

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