An application of neural network analysis in diagnosis of mechanical failure of a total artificial heart

  • Park, Seong-Keun (Dept. of Biomedical Eng., Seoul National University) ;
  • Choi, Won-Woo (Dept. of Biomedical Eng., Seoul National University) ;
  • Min, Byoung-Goo (Dept. of Biomedical Eng., Seoul National University)
  • 발행 : 1995.10.01

초록

A neural network based upon the back propagation algorithm was designed and applied to acoustic power spectra of electrohydraulic total artificial hearts in order to diagnose mechanical failure of devices. The trained network distinguished spectra of the mechanically damaged device from those of the undamaged device with overall success rate of 63%. Moreover, the network correctly classified more than 70% of spectra in the frequency bands of 0-100 Hz and 700-950 Hz. Consequently, the neural network analysis was useful for the diagnosis of mechanical failure of a total artificial heart.