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Part of the book series: IFMBE Proceedings ((IFMBE,volume 18))

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Abstract

Analysis of variability of fetal heart rate (FHR) is very important in prediction of the fetal wellbeing. The beat-to-beat variability is described quantitatively by the indices originated from invasive fetal electrocardiography which provides the FHR signal in a form of time event series. Nowadays, monitoring instrumentation is based on Doppler ultrasound technology. We used two bedside fetal monitors with different processing methods for heart beats detection and FHR signal determination: the autocorrelation and crosscorrelation techniques. Both monitors provide the output signal in a form of evenly spaced samples. The goal of this work was to evaluate the influence of signal representation on the indices describing FHR variability. For both monitors the indices calculated for the sampled signal decreased in relation to the indices determined from event series.

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References

  1. Divon M Y (1985) Autocorrelation techniques in fetal monitoring Am J Obstet Gynecol 151:2–6

    Google Scholar 

  2. Kubo T, Inaba J, Shigemitsu S, Akatsuka T (1987) Fetal heart variability indices and the accuracy of variability measurements Am J Perinat 4:179–186

    Article  Google Scholar 

  3. Jezewski J, Wrobel J, Horoba K (2006) Comparison of Doppler ultrasound and direct electrocardiography acquisition techniques for quantification of fetal heart variability IEEE Trans Biomed Eng 53: 855–864

    Article  Google Scholar 

  4. Jezewski J, Wrobel J, Horoba K, Kupka T, Matonia A (2006) Centralised fetal monitoring system with hardware-based data flow control Proc. III Int. Conf. MEDSIP, Glasgow 2006, pp. 51–54

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  5. Matonia A, Jezewski J, Kupka T, Widera A (2005) Estimation of time events sequence from the fetal heart signal, Engineering Mechanics 12(1):143–150

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© 2007 Springer-Verlag Berlin Heidelberg

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Kupka, T., Horoba, K., Jezewski, J., Gacek, A., Labaj, P., Zietek, J. (2007). The Influence of Signal Representation on Fetal Heart Rate Variability Analysis. In: Müller-Karger, C., Wong, S., La Cruz, A. (eds) IV Latin American Congress on Biomedical Engineering 2007, Bioengineering Solutions for Latin America Health. IFMBE Proceedings, vol 18. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74471-9_1

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  • DOI: https://doi.org/10.1007/978-3-540-74471-9_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74470-2

  • Online ISBN: 978-3-540-74471-9

  • eBook Packages: EngineeringEngineering (R0)

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