Title :
An FES-assisted training strategy combined with impedance control for a lower limb rehabilitation robot
Author :
Yixiong Chen ; Jin Hu ; Weiqun Wang ; Liang Peng ; Long Peng ; Zeng-Guang Hou
Author_Institution :
State Key Lab. of Manage. & Control for Complex Syst., Inst. of Autom., Beijing, China
Abstract :
In order to investigate the feasibility of integrating functional electrical stimulation (FES) with robot-based rehabilitation training, this paper proposes an FES-assisted training strategy combined with impedance control for our self-made exoskeleton lower limb rehabilitation robot. This control strategy is carried out in a leg press task. Through impedance control, an active compliance of the robot is established, and the patient´s voluntary effort to accomplish the task is inspired. During the training process, the patient´s related muscles are applied with FES which provides an extra assistance to the patient. The intensity of the FES is properly chosen aiming to induce a desired active torque which is proportional to the voluntary effort of the patient. This kind of enhancement serves as a positive feedback which reminds the patient of the correct attempt to fulfill the desired motion. FES control is conducted by a combination of neural network-based feedforward controller and a PD feedback controller. The feasibility of this control strategy has been verified in Matlab.
Keywords :
PD control; bioelectric phenomena; feedforward neural nets; medical robotics; muscle; neurocontrollers; patient rehabilitation; FES control; FES-assisted training strategy; Matlab; PD feedback controller; active torque; control strategy; functional electrical stimulation; impedance control; leg press task; neural network-based feedforward controller; patient related muscles; patient voluntary effort; positive feedback; robot-based rehabilitation training; self-made exoskeleton lower limb rehabilitation robot; training process; Force; Impedance; Joints; Muscles; Robots; Torque; Trajectory;
Conference_Titel :
Robotics and Biomimetics (ROBIO), 2013 IEEE International Conference on
Conference_Location :
Shenzhen
DOI :
10.1109/ROBIO.2013.6739769