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Modular neural networks applied to surface EMG signals for limb function identification

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2 Author(s)
Hope, Wu.P. ; Fac. of Syst. Eng., Southampton Inst. ; Rassoulian, H.

This paper describes the application of neural networks to limb function identification using a single channel surface EMG signal and discusses improvements made in the decision algorithm which not only simplifies the control system and reduces identification time but also provides a more continuous identification of limb functions during real time application. Simulation results show that the method takes only a few milliseconds to identify limb functions and has a good identification rate

Published in:

Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on  (Volume:2 )

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