Hand rehabilitation robotics on poststroke motor recovery
Z Yue, X Zhang, J Wang - Behavioural neurology, 2017 - Wiley Online Library
The recovery of hand function is one of the most challenging topics in stroke rehabilitation.
Although the robot‐assisted therapy has got some good results in the latest decades, the …
Although the robot‐assisted therapy has got some good results in the latest decades, the …
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 …
Iterative learning control in health care: Electrical stimulation and robotic-assisted upper-limb stroke rehabilitation
Annually, 15 million people worldwide suffer a stroke, and 5 million are left permanently
disabled. A stroke is usually caused when a blood clot blocks a vessel in the brain and acts …
disabled. A stroke is usually caused when a blood clot blocks a vessel in the brain and acts …
Hybrid FES-robot cooperative control of ambulatory gait rehabilitation exoskeleton
Abstract Robotic and functional electrical stimulation (FES) approaches are used for
rehabilitation of walking impairment of spinal cord injured individuals. Although devices are …
rehabilitation of walking impairment of spinal cord injured individuals. Although devices are …
Iterative learning control
DH Owens - Encyclopedia of Systems and Control, 2021 - Springer
Iterative learning control addresses tracking control where the repetition of a task allows
improved tracking accuracy from task to task. The area inherits the analysis and design …
improved tracking accuracy from task to task. The area inherits the analysis and design …
An exoneuromusculoskeleton for self-help upper limb rehabilitation after stroke
C Nam, W Rong, W Li, C Cheung, W Ngai, T Cheung… - Soft robotics, 2022 - liebertpub.com
This article presents a novel electromyography (EMG)-driven exoneuromusculoskeleton that
integrates the neuromuscular electrical stimulation (NMES), soft pneumatic muscle, and …
integrates the neuromuscular electrical stimulation (NMES), soft pneumatic muscle, and …
Iterative learning control of a drop foot neuroprosthesis—Generating physiological foot motion in paretic gait by automatic feedback control
Many stroke patients suffer from the drop foot syndrome, which is characterized by a limited
ability to lift the foot and leads to a pathological gait. We consider treatment of this syndrome …
ability to lift the foot and leads to a pathological gait. We consider treatment of this syndrome …
Point-to-point consensus tracking control for unknown nonlinear multi-agent systems using data-driven iterative learning
This paper considers the point-to-point consensus tracking control for a class of nonlinear
multi-agent systems with completely unknown dynamics, where the consensus is concerned …
multi-agent systems with completely unknown dynamics, where the consensus is concerned …
Iterative learning fault-tolerant control for differential time-delay batch processes in finite frequency domains
This paper develops a fault-tolerant iterative learning control law for a class of differential
time-delay batch processes with actuator faults using the repetitive process setting. Once the …
time-delay batch processes with actuator faults using the repetitive process setting. Once the …
Non-singular terminal sliding mode controller: Application to an actuated exoskeleton
This paper presents a robust controller of an active orthosis used for rehabilitation purposes.
The system is composed of the orthosis worn by the shank and has a complex dynamical …
The system is composed of the orthosis worn by the shank and has a complex dynamical …