• DocumentCode
    1660582
  • Title

    A diagnostic meaningful distortion measure for ECG compression

  • Author

    Zigel, Yaniv ; Cohen, Amon ; Katz, Amos

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Ben-Gurion Univ. of the Negev, Beer-Sheva, Israel
  • fYear
    1996
  • Firstpage
    117
  • Lastpage
    120
  • Abstract
    A new distortion measure for ECG signal compression is introduced. This diagnostic distortion measure, called the Weighted Diagnostic Distortion (WDD), is based on comparing the PQRST complex features (such as: P wave duration, P wave amplitude, P wave shape, QT duration, ST elevation, etc.) between two signals (original ECG signal and reconstructed ECG signal). Also in this article, a new compression algorithm is introduced, based on analysis by synthesis coding. In our compression system the encoder consists of a long term and a short term predictors and a quantizer with an adaptive number and values of levels, which are depended on the definition of maximum permitted distortion for each segment in the signal. The algorithm exhibits better results than other known compression algorithms
  • Keywords
    data compression; electrocardiography; medical signal processing; ECG signal compression; P wave amplitude; P wave duration; P wave shape; QT duration; ST elevation; compression algorithm; diagnostic distortion measure; diagnostic meaningful distortion measure; electrodiagnostics; long term predictor; maximum permitted distortion; original ECG signal; quantizer; reconstructed ECG signal; short term predictor; signal segment; synthesis coding; weighted diagnostic distortion; Compression algorithms; Distortion measurement; Electrocardiography; Information rates; Mean square error methods; Patient monitoring; Shape measurement; Signal processing; Solid state circuits; Weight measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Electronics Engineers in Israel, 1996., Nineteenth Convention of
  • Conference_Location
    Jerusalem
  • Print_ISBN
    0-7803-3330-6
  • Type

    conf

  • DOI
    10.1109/EEIS.1996.566907
  • Filename
    566907