• DocumentCode
    3122994
  • Title

    The Maternal ECG Suppression Algorithm for Efficient Extraction of the Fetal ECG from Abdominal Signal

  • Author

    Matonia, A. ; Jezewski, J. ; Horoba, K. ; Gacek, A. ; Labaj, P.

  • Author_Institution
    Inst. of Med. Technol. & Equip., Zabrze
  • fYear
    2006
  • fDate
    Aug. 30 2006-Sept. 3 2006
  • Firstpage
    3106
  • Lastpage
    3109
  • Abstract
    At present, noninvasive recording of abdominal fetal electrocardiogram and analysis of the fetal heart rate variability seems to be the most promising method to detect the fetal hypoxia. The main problem is to obtain a good quality fetal ECG, which is strongly distorted by maternal component of dominating energy. The paper presents the new method of maternal electrocardiogram recognition and suppression relying on determination of template maternal PQRST complex and its subtraction during consecutive maternal cardiac cycles. The efficiency of the developed method was evaluated and related to three other selected methods for maternal ECG suppression using dedicated coefficients created for this comparison
  • Keywords
    electrocardiography; feature extraction; medical signal processing; obstetrics; pattern recognition; signal representation; abdominal fetal electrocardiogram; abdominal signal; electrocardiogram recognition; electrocardiogram suppression; fetal ECG; fetal heart rate variability; fetal hypoxia; maternal ECG suppression algorithm; maternal PQRST complex; maternal cardiac cycles; noninvasive recording; Abdomen; Algorithm design and analysis; Cities and towns; Electrocardiography; Fetal heart rate; Filtration; Shape; Signal analysis; Signal processing; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
  • Conference_Location
    New York, NY
  • ISSN
    1557-170X
  • Print_ISBN
    1-4244-0032-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2006.260221
  • Filename
    4462454