Title :
The inverse identification of neuromuscular system by using neural networks in elbow function self-correcting system
Author :
Li, Yong ; Lan, Ning ; Yang, Fusheng
Author_Institution :
Dept. of Physiology, Northwestern Univ. Med. Sch., Chicago, IL, USA
Abstract :
Elbow functional restoration is a way to generate stimulating signals to help paraplegia patients restore their movement function. The paper introduces a new way to generate stimulating signals automatically according to the patients physiological parameters by using artificial neural networks. The inverse identification of the neuromuscular system is an important part in this system
Keywords :
biocontrol; biomechanics; identification; learning (artificial intelligence); neuromuscular stimulation; patient rehabilitation; recurrent neural nets; elbow function self-correcting system; elbow functional restoration; inverse identification; neuromuscular system; paraplegia patients; physiological parameters; stimulating signals; Biological neural networks; Control systems; Elbow; Intelligent networks; Neural networks; Neuromuscular; Recurrent neural networks; Signal generators; Signal restoration; Spinal cord;
Conference_Titel :
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5529-6
DOI :
10.1109/IJCNN.1999.831491
