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Baseline and Acceleration Episodes - Clinically Significant Nonstationarities in FHR Signal: Part I. Coefficients of Inconsistency

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Book cover Computer Recognition Systems

Part of the book series: Advances in Soft Computing ((AINSC,volume 30))

Abstract

Fetal heart rate (FHR) is the main source of information on the fetal state. FHR is characterized by two components: the basal fetal heart rate (baseline) and the variability of FHR — mainly accelerations (A) and decelerations (D). A correctly determined FHR baseline is a precondition for correct identification of the acceleration and deceleration patterns. Even a small inaccuracy in the FHR baseline curve may significantly distort the detection of A/D, which may subsequently lead to false interpretation of clinical symptoms. It is necessary to develop a method and criteria, which would allow evaluation of the baseline algorithms. The algorithms could be evaluated either by means of direct comparison of baselines or by a comparison of A/D patterns. The paper presents a method which can be used to determine matched A/D patterns recognized using two various baselines in the meaning of their time location. The method uses the coefficients of inconsistency between these patterns.

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References

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© 2005 Springer-Verlag Berlin Heidelberg

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Jezewski, J., Wrobel, J., Kupka, T. (2005). Baseline and Acceleration Episodes - Clinically Significant Nonstationarities in FHR Signal: Part I. Coefficients of Inconsistency. In: Kurzyński, M., Puchała, E., Woźniak, M., żołnierek, A. (eds) Computer Recognition Systems. Advances in Soft Computing, vol 30. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32390-2_62

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  • DOI: https://doi.org/10.1007/3-540-32390-2_62

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25054-8

  • Online ISBN: 978-3-540-32390-7

  • eBook Packages: EngineeringEngineering (R0)

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