On-line learning method for EMG prosthetic hand control

Electronics and Communications in Japan, Part III: Fundamental Electronic Science (English translation of Denshi Tsushin Gakkai Ronbunshi)

Volumn 84, Issue 10, 2001, Pages 35-46

  Nishikawa, Daisuke ^a   Yu, Wenwei ^a   Yokoi, Hiroshi ^a   Kakazu, Yukinori ^a  

^a HOKKAIDO UNIVERSITY   (Japan)

Author keywords

EMG prosthetic hand; On line learning; Surface electromyogram

Indexed keywords

DESIGN FOR TESTABILITY; ELECTROMYOGRAPHY; IMAGING SYSTEMS; MEDICAL APPLICATIONS; MOTION CONTROL; MYOELECTRICALLY CONTROLLED PROSTHETICS; ONLINE SYSTEMS;

ONLINE LEARNING METHOD; PROSTHETIC HAND CONTROL; SURFACE ELECTROMYOGRAM;

LEARNING SYSTEMS;

EID: 0034990209     PISSN: 10420967     EISSN: None     Source Type: Journal    
DOI: 10.1002/ecjc.1040     Document Type: Article

References (16)

1. Coming to grips with artificial hand design
2. Myo-electric hand
3. Myoelectric artificial hand proscription results
4. Practical value of myoelectric artificial hand
5. Measurement of physiological information
6. Multi-functional hand controller using myoelectric information
7. New strategy for multi-function myoelectric control
8. Control scheme of myoelectrical prosthetic hand
9. Discrimination of forearm motions from EMG signals by error back propagation typed neural network using entropy
10. Trajectory formation from surface EMG signals using a neural network model
11. EMG pattern recognition by neural networks for prosthetic fingers control
12. Control of a robot arm by myoelectric potential
13. Myoelectric teleoperation of a complex robotic hand
14. Analysis of myoelectric potential
15. Neuronlike adaptive elements that can solve difficult learning control problems
16. Developing adaptable EMG controlled prostheses to disabled people