• DocumentCode
    3353221
  • Title

    Intelligence simulation and control of heart machines and blood supplying systems

  • Author

    Shao-fa, Li ; Yi-min, Wu

  • Author_Institution
    South China Univ. of Technol., Guangzhou, China
  • fYear
    1994
  • fDate
    5-9 Dec 1994
  • Firstpage
    255
  • Lastpage
    257
  • Abstract
    The method of self-adaptation in which the machine teaches itself is advanced in this paper, so that the mechanism of the artificial heart auxiliary circulatory system and the natural heart can be coordinated. The system simulates and learns from the blood circulatory system in the patient under experts supervision, so that the system can adapt to the requirements of bodily functions to ensure a good blood transfusion
  • Keywords
    artificial organs; biocontrol; cardiology; digital simulation; intelligent control; learning (artificial intelligence); neurocontrollers; optimal control; self-adjusting systems; artificial heart; auxiliary circulatory system; blood supplying systems; blood transfusion; heart machines; intelligence simulation; natural heart; self-adaptation; Blood; Heart; Intelligent control; Learning systems; Machine intelligence; Mathematical model; Mathematics; Optimal control; Predictive models; Three-term control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Technology, 1994., Proceedings of the IEEE International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    0-7803-1978-8
  • Type

    conf

  • DOI
    10.1109/ICIT.1994.467118
  • Filename
    467118