| AED (Automated External Defibrillator) is a medical equipment for stimulate the heart to restore normal by sudden stop in the heart and the case of ventricular fibrillation by electric shocks. AED is excellence of small, high efficiency and low cost. It is widely used in hospitals, office buildings, airports, railway stations, libraries, shopping malls and other public places. The traditional control strategy of AED response is mainly based on the expert system rules extraction method. It is based on the experience of designers for artificially defined rules and parameters. However, due to different understanding of designers and of the differences knowledge found by the same feedback types of load, the action may be different, and make mistake sometimes. It will be affect the response control. Therefore, how to improve the load of AED response correctness and speed are the major issues of many companies focused on. This paper raises AED new control method for introduce rough set theory of using advantages of dealing with the uncertainty, incomplete, inaccurate data. It was build a control model of AED and was verified by experiment. The result is good. |
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