Title :
An on-line learning neural network for discrimination of walk functions in paraplegics
Author :
Liu, R. ; Tong, L. ; Deng, J.
Author_Institution :
Dept. of Electr. & Comput. Eng., Notre Dame Univ., IN, USA
Abstract :
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
Keywords :
neural nets; discrimination in real time; discrimination of walk functions; neural network training; online learning neural network; paraplegics; perceptron convergence algorithm; three-layered network; Artificial neural networks; Computer networks; Electromyography; Intelligent networks; Legged locomotion; Lesions; Muscles; Neural networks; Neuromuscular stimulation; Pattern recognition;
Conference_Titel :
Circuits and Systems, 1989., IEEE International Symposium on
Conference_Location :
Portland, OR
DOI :
10.1109/ISCAS.1989.100524
