Neuromuscular disease diagnostics using fuzzy concepts and EBP-NN based expert system

摘要

this paper deals with an expert System which has been developed to diagnose the neuromuscular disorders by suing the time domain and frequency domain parameters of the Motor unit Action Potential (MUAP) and the symptoms of a patient. The timedomian and frequency domain parameters and the symptoms are fuzzified to bring in the procedure of the diagnostics exactly in line with the process being adopted by the Human Experts. The time domain and frequency domain parameters are handled by distance measure criteria while the symptoms are handled by Error Back propagation-neural Network (EBP-NN).