• DocumentCode
    3430467
  • Title

    Pattern based ECG diagnosis

  • Author

    Parthasarathy, N. ; Ahmadi, M. ; Shridhar, M.

  • Author_Institution
    Dept. of Electr. Eng., Windsor Univ., Ont., Canada
  • fYear
    1991
  • fDate
    9-10 May 1991
  • Firstpage
    585
  • Abstract
    A system with a complex data structure which provides for diagnosis of multiple disorders of the heart is introduced. In the proposed data structure, a tree is used to represent a waveform. The normal and abnormal electrocardiogram (ECG) waveforms are represented by a tree structure. The degree of mismatch between the two trees in terms of node splitting and merging operations are calculated. The three distances which are a measure of the structural deformation of the waveforms form the background medical information required for diagnosis. A key characteristic of the system is the congenial man-machine interface. The system is capable of explaining to the user the reasoning process for its diagnosis. The model is independent, thereby allowing expansions to include disorders from other disciplines
  • Keywords
    computerised pattern recognition; data structures; electrocardiography; medical diagnostic computing; patient diagnosis; user interfaces; ECG waveforms; congenial man-machine interface; data structure; electrocardiogram; heart; medical information; multiple disorders diagnosis; node merging; node splitting; pattern based ECG diagnosis; reasoning process; structural deformation; tree structure; Data structures; Electrocardiography; Equations; Quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, Computers and Signal Processing, 1991., IEEE Pacific Rim Conference on
  • Conference_Location
    Victoria, BC
  • Print_ISBN
    0-87942-638-1
  • Type

    conf

  • DOI
    10.1109/PACRIM.1991.160806
  • Filename
    160806