• DocumentCode
    627971
  • Title

    A Fetal Electrocardiogram Data Acquisition and Analysis System

  • Author

    Samuel, Chris D. ; English, Anthony E. ; Alves, N.

  • Author_Institution
    Dept. of Biomed. Eng., Western New England Univ., Springfield, MA, USA
  • fYear
    2013
  • fDate
    5-7 April 2013
  • Firstpage
    235
  • Lastpage
    236
  • Abstract
    Non-invasive fetal electrocardiogram measurements have the potential to monitor and reduce newborn clinical complications. Fetal electrocardiogram signals, however, are relatively weak and difficult to extract from the maternal electrocardiogram signal and other sources of interference. The goal of this project is to, therefore, successfully extract and process fetal electrocardiogram signals in real time from a competing background of maternal electrocardiogram signals and other forms of noise. To accomplish this goal, electrocardiogram instrumentation hardware has been designed, capable of processing multiple input data streams from electrocardiogram leads placed over the maternal abdomen. High-performance bio-potential amplification, filtering, processing, and safety issues are considered in the design. The results of this study outline a high precision and scalable electrocardiogram system for extracting fetal signal from a large background of maternal and other interfering signals.
  • Keywords
    bioelectric potentials; data acquisition; electrocardiography; medical signal detection; medical signal processing; noise; obstetrics; biopotential amplification; biopotential filtering; biopotential processing; electrocardiogram instrumentation hardware; fetal electrocardiogram data acquisition system; fetal electrocardiogram data analysis system; fetal electrocardiogram signal extraction; fetal electrocardiogram signal processing; interfering signal; maternal abdomen; maternal electrocardiogram signal; newborn clinical complication; noise; noninvasive fetal electrocardiogram measurement; Electrocardiography; Electrodes; Hardware; Instruments; Microprocessors; Monitoring; Noise; electrocardiogram; fetal; fpga; microprocessor; parallel; precision; resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioengineering Conference (NEBEC), 2013 39th Annual Northeast
  • Conference_Location
    Syracuse, NY
  • ISSN
    2160-7001
  • Print_ISBN
    978-1-4673-4928-4
  • Type

    conf

  • DOI
    10.1109/NEBEC.2013.38
  • Filename
    6574445