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
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;
Conference_Titel :
Industrial Technology, 1994., Proceedings of the IEEE International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
0-7803-1978-8
DOI :
10.1109/ICIT.1994.467118
