Hybrid FES-exoskeleton control: Using MPC to distribute actuation for elbow and wrist movements
Introduction Individuals who have suffered a cervical spinal cord injury prioritize the recovery
of upper limb function for completing activities of daily living. Hybrid FES-exoskeleton …
of upper limb function for completing activities of daily living. Hybrid FES-exoskeleton …
Shared control of elbow movements with functional electrical stimulation and exoskeleton assistance
Individuals who suffer from paralysis as a result of a spinal cord injury list restoration of arm
and hand function as a top priority. FES helps restore movement using the user's own …
and hand function as a top priority. FES helps restore movement using the user's own …
[HTML][HTML] Multiple-model iterative learning control with application to stroke rehabilitation
Abstract Model-based iterative learning control (ILC) algorithms achieve high accuracy but
often exhibit poor robustness to model uncertainty, causing divergence and long-term …
often exhibit poor robustness to model uncertainty, causing divergence and long-term …
Nonlinear model predictive control of a conductance-based neuron model via data-driven forecasting
Objective. Precise control of neural systems is essential to experimental investigations of
how the brain controls behavior and holds the potential for therapeutic manipulations to …
how the brain controls behavior and holds the potential for therapeutic manipulations to …
Combining FES and Exoskeletons in a Hybrid Haptic System for Enhancing VR Experience
LB De Mongeot, E Galofaro, F Ramadan… - … on Neural Systems …, 2023 - ieeexplore.ieee.org
Robotic technology and functional electrical stimulation (FES) have emerged as highly
effective rehabilitative techniques for individuals with neuromuscular diseases, showcasting …
effective rehabilitative techniques for individuals with neuromuscular diseases, showcasting …
Global system errors to simultaneously improve the identification of subsystems with mixed data Gaussian process regression
This paper explores the use of Gaussian process regression for system identification in
control engineering. It introduces two novel approaches that utilize the data from a …
control engineering. It introduces two novel approaches that utilize the data from a …
Data-Driven Dynamic Motion Planning for Practical FES-Controlled Reaching Motions in Spinal Cord Injury
Functional electrical stimulation (FES) is a promising technology for restoring reaching
motions to individuals with upper-limb paralysis caused by a spinal cord injury (SCI) …
motions to individuals with upper-limb paralysis caused by a spinal cord injury (SCI) …
Trajectory Optimization Algorithm of Trajectory Rehabilitation Training Mode for Rehabilitation Robot
Y Cen, J Yuan, S Ma, J Luo… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
It is a challenge for robot-assisted rehabilitation therapy to develop a training program with
both customized and optimized characteristics. To optimize the scheme of the trajectory …
both customized and optimized characteristics. To optimize the scheme of the trajectory …
Multiple model iterative learning control with application to upper limb stroke rehabilitation
J Zhou, CT Freeman… - … PhD Workshop (IIPhDW), 2023 - ieeexplore.ieee.org
Functional electrical stimulation (FES) is an upper limb stroke rehabilitation technology that
can enable patients to recover their lost movement by assisting functional task training …
can enable patients to recover their lost movement by assisting functional task training …
Multiple model iterative learning control for FES-based stroke rehabilitation
J Zhou, CT Freeman… - 2023 American Control …, 2023 - ieeexplore.ieee.org
Functional electrical stimulation (FES) is an effective upper limb stroke rehabilitation
technology that helps patients recover lost movement by assisting functional task training …
technology that helps patients recover lost movement by assisting functional task training …