Hybrid FES-exoskeleton control: Using MPC to distribute actuation for elbow and wrist movements

N Dunkelberger, J Berning, EM Schearer… - Frontiers in …, 2023 - frontiersin.org
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 …

Shared control of elbow movements with functional electrical stimulation and exoskeleton assistance

N Dunkelberger, SA Carlson, J Berning… - 2022 International …, 2022 - ieeexplore.ieee.org
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 …

[HTML][HTML] Multiple-model iterative learning control with application to stroke rehabilitation

J Zhou, CT Freeman, W Holderbaum - Control Engineering Practice, 2025 - Elsevier
Abstract Model-based iterative learning control (ILC) algorithms achieve high accuracy but
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

C Fehrman, CD Meliza - Journal of neural engineering, 2024 - iopscience.iop.org
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 …

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 …

Global system errors to simultaneously improve the identification of subsystems with mixed data Gaussian process regression

CJ LaMack, EM Schearer - Machine Learning: Science and …, 2024 - iopscience.iop.org
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 …

Data-Driven Dynamic Motion Planning for Practical FES-Controlled Reaching Motions in Spinal Cord Injury

DN Wolf, AJ van den Bogert… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
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) …

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 …

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 …

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 …