ISSN: 0973-7510

E-ISSN: 2581-690X

Jing Teng , Wang Fangqun and Qian Kun-Xi
*Institute of Biomedical Engineering, Jiangsu University, Zhenjiang, China.
J Pure Appl Microbiol. 2013;7(Spl. Edn.: April):411-416
© The Author(s). 2013
Received: 03/03/2013 | Accepted: 14/04/2013 | Published: 30/04/2013

With the development of the heart pump, more and more products of artificial heart have been applied to the human body, but most of the products produce some discomfort harmful to human body, can’t meet the heart pump comfort requirements, need further improvement and enhancement. through the neural network design of bionic control method is one of effective methods to improve the heart pump’s comfort.A neural network model was established in this paper according to the relationship of the pressure head of the blood pump with motor power and speed by neural network software Neuroshell2. A lot of data were studied for the neural network model by selecting the appropriate activation function, the parameters of network model was adjusted, the stability of neural network was increased, the error of the neural network measuring values and the actual values to meet the human body comfort  was within 5%. Improve comfort after blood pump implantation in the human body


Artificial heart, Neural network, Bionic control, Neuroshell

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© The Author(s) 2013. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License which permits unrestricted use, sharing, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.