Abstract
The first phase of developing a connectionist expert system is described in this study. Dynamic pressure patterns below the foot obtained by the emed f system of 18 subjects were classified into one of the three categories: normals, pes cavus and hallux valgus. As opposed to the traditional approach for the analysis of the pressure patterns by quantifying isolated segments, a neural network based expert system was trained to perform objective classification of the patterns while keeping their integrity. The results of the backpropagation paradigm were unexpectedly good considering the limiting factors which hindered the performance of the neural networks. The successes indicate the potential of artificial intelligence in automated analysis of foot pathologies based on the emed f system.
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