• DocumentCode
    1601052
  • Title

    Combined Bispectral and Bicoherency approach for Catastrophic Arrhythmia Classification

  • Author

    Al-Fahoum, A. ; Khadra, L.

  • Author_Institution
    Hijjawi Fac. for Eng. Tech., Yarmouk Univ., Irbid
  • fYear
    2005
  • fDate
    6/27/1905 12:00:00 AM
  • Firstpage
    332
  • Lastpage
    336
  • Abstract
    Quantitative classification of cardiac arrhythmia is an important tool in ICU and CCU that enables on line monitoring of the cardiac activities. Among fatal arrhythmias are atrial fibrillation (AF), ventricular tachycardia (VT), and ventricular fibrillation that require special algorithms for detection and so for direct medical actions. In this paper, a combined bispectrum and bicoherency classification algorithm is introduced. It is based on extracting diagnostic features from the bispectrum contours and the bicoherency indices that better describe the arrhythmia. A simple classification scheme utilizing these features showed notable sensitivity and specificity. The obtained results are found comparable to the state of the art algorithms with the ability of being integrated for on line monitoring and classification
  • Keywords
    electrocardiography; feature extraction; medical signal processing; patient monitoring; signal classification; atrial fibrillation; bicoherency classification algorithm; bicoherency indices; bispectral classification algorithm; bispectrum contours; catastrophic arrhythmia classification; diagnostic feature extraction; on line monitoring; ventricular fibrillation; ventricular tachycardia; Atrial fibrillation; Biomedical monitoring; Classification algorithms; Frequency domain analysis; Heart; Medical diagnostic imaging; Rhythm; Sequential analysis; Time domain analysis; Time frequency analysis; Atrial fibrillation; Ventricular fibrillation; Ventricular tachycardia; bicoherency; bispectrum;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
  • Conference_Location
    Shanghai
  • Print_ISBN
    0-7803-8741-4
  • Type

    conf

  • DOI
    10.1109/IEMBS.2005.1616412
  • Filename
    1616412