Fuzzy Inference And Its Application In Fuzzy Expert System Of ECG Diagnose

Electrocardiogram(ECG) is one of the necessary instruments used for clinic heart disease diagnosing. Researching and developing ECG auto- recognizing system can avoid most defects brought by reading ECG manually. It can also improve the accurate ratio of heart disease diagnosing. This system has important social significance and applied worthiness.This paper develops a fuzzy expert system for Electrocardiogram diagnosis. Its fuzzy inference is based on the experience and specialty knowledge of experts.taking into account the special requirements of Electrocardiogram diagnosis. What's more, it discusses traditional methods for CRI and presents a new method of fuzzy inference-an increasing oriented CRI. Then proof is given to the application of this method in multi-domensional,multi-layer or combined(multi-dimension and multi-layer combined) fuzzy inference, The new method can overcome some shortcomings of conventional CRI, satisfy modus ponens and approximate the principle. It has powerful agglomerate ability and has much more rationality.At last, a fuzzy expert system for Electrocardiogram diagnosis is developed and details about fuzzy rules, knowledge representation, fuzzy inference implementation and the structure of knowledge database are put forward.The efficiency of the system is showed in practical application.