Reliability of neural-network functional electrical stimulation gait-control system

1999 ◽  
Vol 37 (5) ◽  
pp. 633-638 ◽  
Author(s):  
K. Y. Tong ◽  
M. H. Granat
Keyword(s):  
Neural Network ◽  
Electrical Stimulation ◽  
Control System ◽  
Functional Electrical Stimulation ◽  
Gait Control

scholarly journals Human-FES cooperative control for wrist movement: a preliminary study

2016 ◽  
Vol 26 (3) ◽  
Author(s):  
Kai Gui ◽  
Hiroshi Yokoi ◽  
Dingguo Zhang
Keyword(s):  
Neural Network ◽  
Electrical Stimulation ◽  
Functional Electrical Stimulation ◽  
Bp Neural Network ◽  
Cooperative Control ◽  
Back Propagation ◽  
Feedback Controller ◽  
Wrist Movement ◽  
Feedforward Controller ◽  
Preliminary Study

Functional electrical stimulation (FES) sometimes applies to patients with partial paralysis, so human voluntary control and FES control both exist. Our study aims to build a cooperative controller to achieve human-FES cooperation. This cooperative controller is formed by a classical FES controller and an impedance controller. The FES controller consists of a back propagation (BP) neural network-based feedforward controller and a PID-based feedback controller. The function of impedance controller is to convert volitional force/torque, which is estimated from a three-stage filter based on EMG, into additional angle. The additional angle can reduce the FES intensity in our cooperative controller, comparing to that in classical FES controller. Some assessment experiments are designed to test the performance of the cooperative controller.

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