[HTML][HTML] Maximizing stroke recovery with advanced technologies: A comprehensive review of robot-assisted, EMG-Controlled robotics, virtual reality, and mirror …

F Amin, A Waris, J Iqbal, SO Gilani, MZU Rehman… - Results in …, 2023 - Elsevier
Inconvenience caused by stroke brings physical disability found in many people which
restricts their daily life activities. Globally, it was predicted that the prevalence of stroke will …

Effects of EMG-based robot for upper extremity rehabilitation on post-stroke patients: a systematic review and meta-analysis

Y Huo, X Wang, W Zhao, H Hu, L Li - Frontiers in Physiology, 2023 - frontiersin.org
Objective: A growing body of research shows the promise and efficacy of EMG-based robot
interventions in improving the motor function in stroke survivors. However, it is still …

sEMG-based lower limb motion prediction using CNN-LSTM with improved PCA optimization algorithm

M Zhu, X Guan, Z Li, L He, Z Wang, K Cai - Journal of Bionic Engineering, 2023 - Springer
In recent years, sEMG (surface electromyography) signals have been increasingly used to
operate wearable devices. The development of mechanical lower limbs or exoskeletons …

A transfer learning model for gesture recognition based on the deep features extracted by CNN

Y Zou, L Cheng - IEEE Transactions on Artificial Intelligence, 2021 - ieeexplore.ieee.org
The surface electromyogram (sEMG) based hand gesture recognition is prevalent in human–
computer interface systems. However, the generalization of the recognition model does not …

Fuzzy enhanced adaptive admittance control of a wearable walking exoskeleton with step trajectory shaping

P Huang, Z Li, MC Zhou, X Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The generation of motor adaptation in response to mechanical perturbation during human
walking is seldom considered in an exoskeleton system. Reshaping step trajectory over …

Design and implementation of a rehabilitation upper-limb exoskeleton robot controlled by cognitive and physical interfaces

A González-Mendoza, I Quiñones-Urióstegui… - Journal of Bionic …, 2022 - Springer
This paper presents an upper limb exoskeleton that allows cognitive (through
electromyography signals) and physical user interaction (through load cells sensors) for …

Noise-tolerant zeroing neurodynamic algorithm for upper limb motion intention-based human–robot interaction control in non-ideal conditions

Y Liu, K Liu, G Wang, Z Sun, L Jin - Expert Systems with Applications, 2023 - Elsevier
Human–robot interaction control, a crucial technology in industrial manufacturing and
rehabilitation robot, has been widely explored in recent years. However, there are still some …

Multi-sensor fusion-based mirror adaptive assist-as-needed control strategy of a soft exoskeleton for upper limb rehabilitation

N Li, Y Yang, G Li, T Yang, Y Wang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Assist-as-needed (AAN) assistance can promote active voluntary participation in
rehabilitation and motor function recovery of post-stroke patients. However, different patients …

Voluntary assist-as-needed controller for an ankle power-assist rehabilitation robot

R Yang, Z Shen, Y Lyu, Y Zhuang, L Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Objective: Although existing assist-as-needed (AAN) controllers have been designed to
adapt the robotic assistance to patients' movement performance, they ignore patient's active …

Autonomous motion and control of lower limb exoskeleton rehabilitation robot

X Gao, P Zhang, X Peng, J Zhao, K Liu… - … in Bioengineering and …, 2023 - frontiersin.org
Introduction: The lower limb exoskeleton rehabilitation robot should perform gait planning
based on the patient's motor intention and training status and provide multimodal and robust …