The application of BP neural network improved with LM algorithm in surface EMG signal classification / 中国医疗器械杂志
Chinese Journal of Medical Instrumentation
;
(6): 399-401, 2005.
Article
in Chinese
| WPRIM
| ID: wpr-232923
ABSTRACT
The method of BP neural network improved by Levenberg-Marquardt algorithm in surface EMG signal classification is proposed. The data reduction and preprocessing operations of the signals are performed by means of the wavelet transform. The classifier can identify four classes of forearm movement hand extension, hand grasp,forearm pronation and forearm supination with a high accuracy.Experimental result shows that the BP neural netwok improved by LM algorithm has greatly increased the speed and the accuracy of signal classification in practical application of prothesis control.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Prostheses and Implants
/
Algorithms
/
Neural Networks, Computer
/
Electromyography
/
Forearm
/
Hand
/
Methods
/
Movement
Type of study:
Prognostic study
Limits:
Humans
Language:
Chinese
Journal:
Chinese Journal of Medical Instrumentation
Year:
2005
Type:
Article
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