• DocumentCode
    1914241
  • Title

    A New Compression Algorithm for ECG Signals

  • Author

    Fira, Monica ; Goras, Liviu

  • Author_Institution
    Fac. of Electron. & Telecommun., Gh. Asachi Tech. Univ.
  • Volume
    1
  • fYear
    2005
  • fDate
    21-24 Nov. 2005
  • Firstpage
    405
  • Lastpage
    408
  • Abstract
    A new algorithm for ECG (electrocardiogram) signal compression based on local extreme extraction, adaptive hysteretic filtering and cubic interpolation is presented. The efficiency of the algorithm is evaluated using a MLP classifier whose inputs were normal and pathological (right and left bundle branch block) classes of original and reconstructed heartbeats respectively
  • Keywords
    electrocardiography; interpolation; medical signal processing; multilayer perceptrons; ECG signal; MLP classifier; adaptive hysteretic filtering; cubic interpolation; electrocardiogram signal compression algorithm; local extreme extraction; Adaptive filters; Artificial neural networks; Cardiac disease; Cardiovascular diseases; Compression algorithms; Electrocardiography; Filtering; Heart; Hysteresis; Neural networks; Classification; Compression; ECG signals; MLP networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer as a Tool, 2005. EUROCON 2005.The International Conference on
  • Conference_Location
    Belgrade
  • Print_ISBN
    1-4244-0049-X
  • Type

    conf

  • DOI
    10.1109/EURCON.2005.1629948
  • Filename
    1629948
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1914241