• DocumentCode
    2766702
  • Title

    SPSA for non-smooth optimization with application in ECG analysis

  • Author

    Gerencsér, László ; Kozmann, György ; Vágó, Zsuzsanna

  • Author_Institution
    Comput. & Autom. Inst., Hungarian Acad. of Sci., Budapest, Hungary
  • Volume
    4
  • fYear
    1998
  • fDate
    16-18 Dec 1998
  • Firstpage
    3907
  • Abstract
    It is shown that nonsmooth optimization problems can be solved by a suitable extension of the simultaneous perturbation stochastic approximation (SPSA) method. The new optimization method has been tested in a min-max classification problem using both simulated and real data. The latter are ECG signals which were collected for the detection of so-called late potentials
  • Keywords
    approximation theory; electrocardiography; medical signal processing; minimax techniques; perturbation techniques; stochastic programming; ECG analysis; late potentials; min-max classification; nonsmooth optimization; simultaneous perturbation stochastic approximation; Application software; Electrocardiography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1998. Proceedings of the 37th IEEE Conference on
  • Conference_Location
    Tampa, FL
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-4394-8
  • Type

    conf

  • DOI
    10.1109/CDC.1998.761839
  • Filename
    761839