• DocumentCode
    2853324
  • Title

    An application of wavelet neural networks (WNN) for heart valve prostheses characteristic

  • Author

    Kostka, P. ; Tkacz, E.J.

  • Author_Institution
    Found. of Cardiac Surg. Dev., Inst. of Heart Prostheses, Zabrze
  • Volume
    4
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    2463
  • Abstract
    Presents some recently obtained results regarding possibility of application of wavelet neural networks (WNN) for both description and further analysis of events happening with the artificial heart valves. It is extremely important to create a tool allowing analysis of flow pattern through an artificial heart valve prosthesis, which makes possible the extraction of some conclusions leading to valve prosthesis design process improvement
  • Keywords
    cardiology; haemodynamics; neural nets; physiological models; prosthetics; wavelet transforms; flow pattern analysis; heart valve prostheses characteristic; valve prosthesis design process improvement; wavelet neural networks; Artificial neural networks; Computer simulation; Education; Heart valves; Neural networks; Neural prosthesis; Process design; Signal analysis; Testing; Wavelet analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE
  • Conference_Location
    Chicago, IL
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-6465-1
  • Type

    conf

  • DOI
    10.1109/IEMBS.2000.901298
  • Filename
    901298