An on-line learning neural network for discrimination of walk functions in paraplegics

An online learning neural network is proposed for the problem of walking function discrimination in paraplegics. The perceptron convergence algorithm is incorporated into a three-layered network. The patients can train the network themselves, and the neural network can adapt to change in the condition of the patient and can perform the discrimination in real time.<<ETX>>

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