• DocumentCode
    1837228
  • Title

    New Approach to Quantitative Description of Deceleration of Fetal Heart Rate for the Patterns Classification

  • Author

    Labaj, P. ; Jezewski, J. ; Matonia, A. ; Kupka, T. ; Gacek, A. ; Jezewski, M.

  • Author_Institution
    Inst. of Med. Technol. & Equip., Zabrze
  • fYear
    2007
  • fDate
    22-26 Aug. 2007
  • Firstpage
    3156
  • Lastpage
    3159
  • Abstract
    The most common method of biophysical fetal monitoring is recording and analyzing the cardiotocographic signals. In analysis of the fetal heart rate signal special emphasis is paid to the deceleration patterns and their correlation to the uterine contractions. According to deceleration classification the most important is the distinguishing between the periodic and the episodic types. In visual analysis, this classification is based on fuzzy description of deceleration onset being ";abrupt"; or ";gradual";. Application of commonly used interpretation of these imprecise terms in computer aided monitoring systems very often leads to erroneous classifications. Therefore, the redefinition of the deceleration nadir phase, as a group of samples around the lowest point, is required. It ensures that the onset phase, which is very important in deceleration classification, will consist of only appropriate samples. For determination of nadir the new method based on three stage- analysis of samples frequency distribution was developed. To evaluate the proposed method we compared the results with reference data obtained from clinical experts.
  • Keywords
    cardiology; medical diagnostic computing; medical signal processing; patient monitoring; pattern classification; biophysical fetal monitoring; cardiotocographic signals; computer aided monitoring system; fetal heart rate deceleration; fuzzy deceleration onset description; pattern classification; uterine contraction; Application software; Biomedical monitoring; Cardiography; Computerized monitoring; Fetal heart rate; Frequency; Heart rate measurement; Pattern analysis; Pattern classification; Signal analysis; Algorithms; Artificial Intelligence; Cardiotocography; Diagnosis, Computer-Assisted; Heart Rate, Fetal; Humans; Infant, Newborn; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
  • Conference_Location
    Lyon
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-0787-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2007.4352999
  • Filename
    4352999