• DocumentCode
    2380872
  • Title

    EKG waveform recognition procedure

  • Author

    Dwyer, Gene ; Noguchi, Yasuaki ; Szeto, Hazel H.

  • Author_Institution
    Dept. of Pharmacology, Cornell Univ. Med. Coll., New York, NY, USA
  • fYear
    1989
  • fDate
    27-28 Mar 1989
  • Firstpage
    225
  • Lastpage
    226
  • Abstract
    A fast, accurate, and robust EKG (electrocardiogram) waveform-recognition algorithm has been developed for a personal computer. The method uses the convolution of raw EKG data with one or more sample EKG waveform templates as a recognition signal. Recognition occurs when the convolution exceeds a user-defined reference level. This level can depend on the history of the recognition signal as well as on other physiological data
  • Keywords
    computerised pattern recognition; electrocardiography; medical computing; ECG waveform recognition algorithm; ECG waveform templates; data convolution; personal computer; user-defined reference level; Animals; Convolution; Educational institutions; Heart rate variability; History; Microcomputers; Robustness; Shape; Signal analysis; Signal processing;
  • 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.1989.36782
  • Filename
    36782