• DocumentCode
    1776483
  • Title

    Survey on Fetal ECG extraction

  • Author

    Anisha, M. ; Kumar, Sahoo Subhendu ; Benisha, M.

  • Author_Institution
    Dept. of Biomed. Eng., Noorul Islam Univ., Thuckalay, India
  • fYear
    2014
  • fDate
    10-11 July 2014
  • Firstpage
    1089
  • Lastpage
    1095
  • Abstract
    Fetal Electrocardiogram (FECG) signal, non-invasively taken from the Abdominal Electrocardiogram (AECG) of a pregnant woman is a efficient diagnostic tool for determining congenital cardiac defects. Clinically significant information in the Fetal Electrocardiogram signal is often masked by Maternal Electrocardiogram (MECG) considered as the most predominant interference, power line interference, and maternal Electromyogram (EMG), baseline wander etc. Fetal Electrocardiogram signal features may not be readily comprehensible due to the very low signal to noise ratio. Therefore Fetal Electrocardiogram should be extracted from composite Abdominal Electrocardiogram for clinical diagnosis. There are many powerful and well advanced methods for this purpose. A methodological review has been made to reveal the effectiveness of available methods which helps in understanding of Fetal ECG signal and its analysis procedures by providing valuable information.
  • Keywords
    data acquisition; electrocardiography; electromyography; feature extraction; interference (signal); medical disorders; medical signal processing; obstetrics; reviews; source separation; EMG; MECG; baseline wander; clinical diagnosis; composite abdominal electrocardiogram; congenital cardiac defect diagnosis; diagnostic tool; fetal ECG extraction survey; fetal ECG signal analysis; fetal electrocardiogram extraction; fetal electrocardiogram signal feature; maternal electrocardiogram; maternal electromyogram interference; methodological review; noninvasive FECG signal acquisition; power line interference; pregnant woman AECG; signal to noise ratio; Adaptive filters; Algorithm design and analysis; Electrocardiography; Fetal heart rate; Noise; Wavelet transforms; AECG; EMG; FECG; MECG;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Instrumentation, Communication and Computational Technologies (ICCICCT), 2014 International Conference on
  • Conference_Location
    Kanyakumari
  • Print_ISBN
    978-1-4799-4191-9
  • Type

    conf

  • DOI
    10.1109/ICCICCT.2014.6993123
  • Filename
    6993123