• DocumentCode
    2381053
  • Title

    A QRS detection algorithm for discriminating artifacts in ECG records

  • Author

    Kejariwal, Murari L.

  • Author_Institution
    Dept. of Electr. Eng., Montana State Univ., Bozeman, MT, USA
  • fYear
    1989
  • fDate
    27-28 Mar 1989
  • Firstpage
    227
  • Lastpage
    228
  • Abstract
    A simple and efficient algorithm has been developed to detect QRS complexes at high speed (approximately 32 times real-time speed) from the single-channel digitized ECG (electrocardiogram) data records. This algorithm discriminate QRS complexes against various artifacts, including those due to tape-recorder amplifier saturation. Attenuation of noise (60-Hz power-line frequency) is obtained in a systematic way by a suitable differentiation procedure. This algorithm successfully discriminates muscle artifacts from the distortion due to amplifier saturation. The QRS detection program has less than 5.2% misses and less than 3.9% false detects under extreme conditions. These errors are reduced to a negligible value in relatively artifact-free records
  • Keywords
    computerised signal processing; electrocardiography; 60 Hz; ECG records; QRS detection algorithm; amplifier saturation; distortion; muscle artifacts; noise attenuation; power-line frequency; Detection algorithms; Digital filters; Electrocardiography; Electrodes; Filtering; Frequency; Matched filters; Muscles; Pollution measurement; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioengineering Conference, 1989., Proceedings of the 1989 Fifteenth Annual Northeast
  • Conference_Location
    Boston, MA
  • Type

    conf

  • DOI
    10.1109/NEBC.1989.36783
  • Filename
    36783