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- W2364315284 abstract "The muscles are time-changeable and highly non-linear characteristic in functional electrical stimulation (FES) therapies so that it needs a self-adaptive control method to ensure the robustness of the system. Considering the different responding capable of each patient and each training phase for stimulating current, a self-learning control strategy was proposed in the paper. By a multiple level recurrent neural network identifies the real-time stimulating muscle states; the control algorithm could adjust the FES system output. Experimental results showed that the proposed method was robust and self-adaptive." @default.
- W2364315284 created "2016-06-24" @default.
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- W2364315284 date "2008-01-01" @default.
- W2364315284 modified "2023-09-26" @default.
- W2364315284 title "Adaptive Neural Network Control of FES in Wrist Movements" @default.
- W2364315284 hasPublicationYear "2008" @default.
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