Neural network based modeling and control of elbow joint motion under functional electrical stimulation

2019 ◽  
Vol 340 ◽  
pp. 171-179 ◽  
Author(s):  
Yurong Li ◽  
Wenxin Chen ◽  
Jun Chen ◽  
Xin Chen ◽  
Jie Liang ◽  
...  
Keyword(s):  
Neural Network ◽  
Electrical Stimulation ◽  
Functional Electrical Stimulation ◽  
Elbow Joint ◽  
Joint Motion ◽  
Modeling And Control ◽  
And Control

scholarly journals Enhancing the smoothness of joint motion induced by functional electrical stimulation using co-activation strategies

2017 ◽  
Vol 3 (2) ◽  
pp. 155-159
Author(s):  
Mirjana Ruppel ◽  
Christian Klauer ◽  
Thomas Schauer
Keyword(s):  
Electrical Stimulation ◽  
Functional Electrical Stimulation ◽  
Joint Stiffness ◽  
Joint Motion ◽  
Activation Level ◽  
Pendulum Test ◽  
Co Activation ◽  
Antagonistic Muscle ◽  
Induced Motion ◽  
Neuroprosthetic Devices

AbstractThe motor precision of today’s neuroprosthetic devices that use artificial generation of limb motion using Functional Electrical Stimulation (FES) is generally low. We investigate the adoption of natural co-activation strategies as present in antagonistic muscle pairs aiming to improve motor precision produced by FES. In a test in which artificial knee-joint movements were generated, we could improve the smoothness of FES-induced motion by 513% when applying co-activation during the phases in which torque production is switched between muscles – compared to no co-activation. We further demonstrated how the co-activation level influences the joint stiffness in a pendulum test.

Sign in / Sign up

Export Citation Format

Share Document