• DocumentCode
    3251758
  • Title

    Detection of position of replaced mechanical heart valve with ANN

  • Author

    Altunkaya, Sabri ; Kara, Sadik ; Gormus, Niyazi

  • Author_Institution
    Electr. & Electron. Eng. Dept., Necmettin Erbakan Univ., Konya, Turkey
  • fYear
    2013
  • fDate
    2-4 July 2013
  • Firstpage
    573
  • Lastpage
    576
  • Abstract
    A mechanical heart valve is a device substituted for native heart valve. These valves are generally replaced with mitral or aorta valves. To found whether aorta or mitral heart valve replaced with mechanical one of patients is easy for specialist using stethoscope or chest X-ray. Expert system evaluating mechanical heart valve disease cannot deduce position of replaced heart valve. Thus, we aimed to determine which heart valve of patients was replaced with mechanical one to use preprocessing step in expert systems finding malfunctioning mechanical valve in this study. Electrocardiogram signal and 6 features extracted from power density of heart sounds were used to determine replaced heart valve using artificial neural networks. The heart sounds were separated into four parts according to recording area and sound component. Then, artificial neural networks was separately trained and tested for four sounds using the 6 features. As a result, the mechanical heart valve of patients was detected with 96.55% accuracy from the features of second heart sounds recorded from mitral area.
  • Keywords
    electrocardiography; medical expert systems; neural nets; prosthetics; ANN; aorta valves; artificial neural networks; electrocardiogram signal; expert systems finding; heart sounds; malfunctioning mechanical valve; mechanical heart valve disease; mitral valves; power density; preprocessing step; Artificial neural networks; Correlation; Electrocardiography; Feature extraction; Heart; Training; Valves; Heart sounds; mechanical heart valve replacement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Telecommunications and Signal Processing (TSP), 2013 36th International Conference on
  • Conference_Location
    Rome
  • Print_ISBN
    978-1-4799-0402-0
  • Type

    conf

  • DOI
    10.1109/TSP.2013.6613999
  • Filename
    6613999