• DocumentCode
    2564591
  • Title

    A new method to compute T Wave Alternans

  • Author

    Bahreyni Toossi, M.T. ; Heydari, A. ; Tabatabaei Yazdi, G.

  • Author_Institution
    Med. Phys. Dept., Mashhad Univ. of Med. Sci., Mashhad, Iran
  • fYear
    2009
  • fDate
    18-19 Nov. 2009
  • Firstpage
    285
  • Lastpage
    289
  • Abstract
    The percentage of death worldwide is still the highest for cardiovascular problems. More than 50% of all cardiac deaths are due to sudden cardiac death. Despite all the work done to decrease this increasing number, identifying patients at highest risk for sudden cardiac death is still of concern. Noninvasive Microvolt T Wave Alternans test using electrocardiographic signals would be an ideal diagnostic test for stratifying the risk of sudden cardiac death in a larger group in the society. On the other hand, at present MTWA test is not reliable enough to be used for clinical decision making unless its low positive predictive value would be increased as is published by several recent studies on what should be done to save MTWA test. Another disadvantage of the present MTWA algorithms is the high number of indeterminate tests achieved. In this paper the proposed algorithm is aimed to enhance the low positive predictive value and reduce the number of indeterminate tests achieved in clinical studies.
  • Keywords
    electrocardiography; medical signal processing; MTWA test; electrocardiography; indeterminate tests; noninvasive microvolt T wave alternans test; predictive value; sudden cardiac death; ventricular repolarization; Biomedical imaging; Cardiology; Coronary arteriosclerosis; Electrocardiography; Heart; Medical diagnostic imaging; Physics; Rhythm; Signal processing; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal and Image Processing Applications (ICSIPA), 2009 IEEE International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4244-5560-7
  • Type

    conf

  • DOI
    10.1109/ICSIPA.2009.5478662
  • Filename
    5478662