Neural network for control of stimulation of peripheral motor neurons to allow patient responsive ambulation

Intelligent Engineering Systems Through Artificial Neural Networks

Volumn 6, Issue , 1996, Pages 705-710

  Graupe, Daniel ^a   Kordylewski, Hubert ^b  

^a UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

^b University of Illinois at Chicago   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONTROL; ELECTROMYOGRAPHY; FUNCTIONAL ELECTRIC STIMULATION; NEURAL NETWORKS; PATIENT TREATMENT;

PATIENT MONITORING;

EID: 0030308841     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article

References (5)

1. Graupe,D., 1981. EMG Pattern Analysis for Function Discrimination Purposed, Proc. NATO Advanced Studies Inst. on Spinal Cord Injuries, Stake-Mandeville, England, May
2. Graupe,D., Kralj,A., Kohn,K.H., 1983. Computerized signature discrimination of above-lesion EMG for stimulating peripheral nerves of paraplegics, Proc IFAC Symp. on Prosthesis Control, Ohio, Feb.
3. Graupe,D., 1989. EMG pattern analysis for patient-responsive control of FES in paraplegics for walker-supported walking, IEEE Trans, on Biol. Eng., vol.36, no.7, July, 711-719
4. Grossberg, S., 1987. Competitive learning:from interactive activation to adaptive resonance, Cognitive Science, vol.11, pp.23-63
5. Carpenter.G.A., Grossberg,S., 1987. A massively parallel architecture for a self-organizing neural pattern recognition machine, Comp. Vision, Graphics, and Image Proc., vol.37, 54-115