A review of methods for achieving upper limb movement following spinal cord injury through hybrid muscle stimulation and robotic assistance
Individuals with tetraplegia, typically attributed to spinal cord injuries (SCI) at the cervical
level, experience significant health care costs and loss of independence due to their limited …
level, experience significant health care costs and loss of independence due to their limited …
Feedback control of functional electrical stimulation for 2-D arm reaching movements
Functional electrical stimulation (FES) can be used as a neuroprosthesis in which muscles
are stimulated by electrical pulses to compensate for the loss of voluntary movement control …
are stimulated by electrical pulses to compensate for the loss of voluntary movement control …
Trajectory optimization and model predictive control for functional electrical stimulation-controlled reaching
DN Wolf, EM Schearer - IEEE Robotics and Automation Letters, 2022 - ieeexplore.ieee.org
Functional electrical stimulation (FES) offers promise as a technology to restore reaching
motions to individuals with spinal cord injuries. To date, the level of reaching necessary for …
motions to individuals with spinal cord injuries. To date, the level of reaching necessary for …
Holding static arm configurations with functional electrical stimulation: A case study
DN Wolf, EM Schearer - IEEE Transactions on Neural Systems …, 2018 - ieeexplore.ieee.org
Functional electrical stimulation (FES) is a promising solution for restoring functional motion
to individuals with paralysis, but the potential for achieving any desired full-arm reaching …
to individuals with paralysis, but the potential for achieving any desired full-arm reaching …
Omnidirectional endpoint force control through functional electrical stimulation
M Sierotowicz, C Castellini - Biomedical Physics & Engineering …, 2023 - iopscience.iop.org
Objective. In recent years, Functional Electrical Stimulation has found many applications
both within and outside the medical field. However, most available wearable FES devices …
both within and outside the medical field. However, most available wearable FES devices …
Model learning for control of a paralyzed human arm with functional electrical stimulation
DN Wolf, ZA Hall, EM Schearer - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
Functional electrical stimulation (FES) is a promising technique for restoring reaching ability
to individuals with tetraplegia. To this point, the complexities of goal-directed reaching …
to individuals with tetraplegia. To this point, the complexities of goal-directed reaching …
Robot-inspired human impedance control through functional electrical stimulation
M Sierotowicz, C Castellini - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Functional Electrical Stimulation is an effective tool to foster rehabilitation of neurological
patients suffering from impaired motor functions. It can also serve as an assistive device to …
patients suffering from impaired motor functions. It can also serve as an assistive device to …
Learning dynamic systems using Gaussian process regression with analytic ordinary differential equations as prior information
S Tang, K Fujimoto, I Maruta - IEICE TRANSACTIONS on …, 2021 - search.ieice.org
Recently the data-driven learning of dynamic systems has become a promising approach
because no physical knowledge is needed. Pure machine learning approaches such as …
because no physical knowledge is needed. Pure machine learning approaches such as …
Multi Degree of Freedom Hybrid FES and Robotic Control of the Upper Limb
N Dunkelberger, SA Carlson, J Berning… - … on Neural Systems …, 2024 - ieeexplore.ieee.org
Individuals who have suffered a spinal cord injury often require assistance to complete daily
activities, and for individuals with tetraplegia, recovery of upper-limb function is among their …
activities, and for individuals with tetraplegia, recovery of upper-limb function is among their …
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 …
control engineering. It introduces two novel approaches that utilize the data from a …