• DocumentCode
    1820864
  • Title

    Abdominal Signals: Denoising by Application of the Event Synchronuous Canceller

  • Author

    Taralunga, D. ; Wolf, W. ; Strungaru, R. ; Ungureanu, G.M.

  • Author_Institution
    Politeh. Univ. of Bucharest, Bucharest
  • fYear
    2007
  • fDate
    22-26 Aug. 2007
  • Firstpage
    566
  • Lastpage
    569
  • Abstract
    The electrical activity recorded on the abdomen during pregnancy and labor (abdominal signals, ADS) contains vital information about the health state of both mother and fetus. The most important signal related with the health of fetus, extensively studied by now, is the fetal ECG (fECG) which allows physicians to examine the evolution of the fetus and to identify possible heart diseases of fetus. The movement of the fetus which shows up in the electrohysterogram (EHG), extracted from ADS, indicates a normal pregnancy. This paper presents a method of removing the maternal ECG (mECG) from ADS in order extract the EHG and to obtain information about the uterine contractions and fetal movements. After removing the mECG and the fECG, the ADS, filtered in the frequency range of the uterine activity, is further used to predict labor or preterm labor. The ADS, cleaned from the mECG allows also the analysis of the fECG for fetal monitoring.
  • Keywords
    electrocardiography; electromyography; medical signal processing; obstetrics; signal denoising; abdominal signals; contractions; electrical activity; electrohysterogram; event synchronuous canceller; fetal ECG; fetal monitoring; fetal movements; filtering method; heart diseases; maternal ECG; pregnancy; signal denoising; uterine; Abdomen; Cardiac disease; Data mining; Electrocardiography; Fetus; Frequency; Monitoring; Noise reduction; Pregnancy; Signal processing; Automatic Data Processing; Electrocardiography; Female; Fetal Monitoring; Fetal Movement; Humans; Pregnancy; Uterine Contraction;
  • 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.2007.4352353
  • Filename
    4352353