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International Standard Serial Number:
ISSN 1001-4551
Sponsor:
Zhejiang University;
Zhejiang Machinery and Electrical Group
Edited by:
Editorial of Journal of Mechanical & Electrical Engineering
Chief Editor:
ZHAO Qun
Vice Chief Editor:
TANG ren-zhong,
LUO Xiang-yang
Tel:
86-571-87041360,87239525
Fax:
86-571-87239571
Add:
No.9 Gaoguannong,Daxue Road,Hangzhou,China
P.C:
310009
E-mail:
meem_contribute@163.com
Abstract: In order to solve the problem that the existing cardiopulmonary resuscitation(CPR)machines could not be adaptively adjusted according to the various situations of patients, an intelligent CPR machine based on the impedance control was designed. Firstly, the transmission scheme and structure of the CPR machine were introduced. The planned process of closed cardiac massage by using the force compliance of impedance control was introduced.The proposed machine could adjust the pressing movement according to the current situation of the patient. Then, the pumping effect and potential fracture risk of each closed cardiac massage were monitored. Based on the pumping effect and fracture risk, a fuzzy controller was designed. The fuzzy control was used for the adjustment of impedance parameters, and the trajectory of the pressing process was generated by the impedance controller. Finally, semi-physical experiments were carried out using the medical human body model and the mathematical model built by the computer. The compression effects of intelligent cardiopulmonary resuscitation machine and traditional cardiopulmonary resuscitation machine were compared.The experimental results show that the compression depth of the intelligent CPR machine reaches 5 cm to 7 cm. Comparing with the traditional CPR machine, the intelligent CPR machine increases the PETCO2 by 4.58mmHg;on the premise of restoring the patients ability to breathe spontaneously, the proposed CPR machine can reduce the harm of closed cardiac massage to the patient and ensure safety.
Key words: medical and health instruments; medical electrical machinery;cardiopulmonary resuscitation(CPR); external chest compression; fuzzy control; force / position control;adaptive adjustment of impedance parameters
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