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A hybrid intelligent system for the pre-processing of Fetal Heart rate signals in antenatal testing

  • Bertha Guijarro-Berdiñas
  • Amparo Alonso-Betanzos
  • Soledad Prados-Méndez
  • Olga Fernández-Chaves
  • Miguel Alvarez-Seoane
  • Francisco Ucieda-Pardinas
Cognitive Science and AI
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1240)

Abstract

The Non-Stress Test (NST) is a non-invasive test widely used in obstetrics to assess the fetal state by means of the analysis of Fetal Heart Rate (FHR) and Uterine Pressure (UP) signals. NST-EXPERT is an expert system designed for the diagnosis, therapy and prognosis of fetal state using the NST. NST-EXPERT uses the information extracted from the FHR/UP signals together with information regarding the maternal-fetal context. However, the acquisition of the parameters related to the signals was not automated yet. In achieving this task, the poor quality that the FHR signal presents very often, due to the presence of artifacts and maternal heart rate (MHR) coupling, needs to be faced. In this paper, a hybrid system capable of distinguish between artifacts, MHR and fetal signal to eliminate incorrect data that interfere in the analysis is described.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Bertha Guijarro-Berdiñas
    • 1
  • Amparo Alonso-Betanzos
    • 1
  • Soledad Prados-Méndez
    • 1
  • Olga Fernández-Chaves
    • 2
  • Miguel Alvarez-Seoane
    • 2
  • Francisco Ucieda-Pardinas
    • 2
  1. 1.Dep. Computatión. Facultad de InformáticaUniversidad de A CoruñaCoruñaSpain
  2. 2.Hospital Materno-Infantil Teresa Herrera de A CoruñaSpain

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