Human-exoskeleton coupling dynamics of a multi-mode therapeutic exoskeleton for upper limb rehabilitation training
Q **e, Q Meng, Q Zeng, Y Fan, Y Dai, H Yu - IEEE Access, 2021 - ieeexplore.ieee.org
The purpose of this study is to establish the human-exoskeleton coupling (HEC) dynamic
model of the upper limb exoskeleton, overcome the difficulties of dynamic modeling caused …
model of the upper limb exoskeleton, overcome the difficulties of dynamic modeling caused …
[Retracted] AI Based Gravity Compensation Algorithm and Simulation of Load End of Robotic Arm Wrist Force
L Chen, H Sun, W Zhao, T Yu - Mathematical Problems in …, 2021 - Wiley Online Library
With the rapid development of mechatronics and robotics technology, the application of
robots has been extended from the industrial field to daily life and has become an …
robots has been extended from the industrial field to daily life and has become an …
Patient's Healthy-Limb Motion Characteristic-Based Assist-As-Needed Control Strategy for Upper-Limb Rehabilitation Robots
B Guo, Z Li, M Huang, X Li, J Han - Sensors, 2024 - mdpi.com
The implementation of a progressive rehabilitation training model to promote patients'
motivation efforts can greatly restore damaged central nervous system function in patients …
motivation efforts can greatly restore damaged central nervous system function in patients …
[Retracted] Sensor‐Based Exercise Rehabilitation Robot Training Method
S **e, J Zhang - Journal of Sensors, 2023 - Wiley Online Library
In order to provide convenience for rehabilitation doctors to formulate rehabilitation plans for
patients, this paper proposes a training method for exercise rehabilitation robots based on …
patients, this paper proposes a training method for exercise rehabilitation robots based on …
ℒ1 – ℬℒ Adaptive Controller Design for Wrist Rehabilitation Robot
Upgrading control algorithms to maximize the benefit of robot rehabilitation and increase the
patient's active participation in treatment is very important. The ℒ 1 adaptive controller is …
patient's active participation in treatment is very important. The ℒ 1 adaptive controller is …
[HTML][HTML] An Assist-as-Needed Control Strategy Based on a Subjective Intention Decline Model
H Yan, F Zhang, X Li, C Zhang, Y Zhang, Y Feng - Bioengineering, 2024 - mdpi.com
In the rehabilitation training process for stroke patients, the level of excitement in the
patient's physiological state has a positive impact on the efficacy of the training. In order to …
patient's physiological state has a positive impact on the efficacy of the training. In order to …
Human-robot coupling dynamic modeling and analysis for upper limb rehabilitation robots
Q **e, Q Meng, Y Dai, Q Zeng… - Technology and Health …, 2021 - content.iospress.com
BACKGROUND: Upper limb rehabilitation robots have become an important piece of
equipment in stroke rehabilitation. Human-robot coupling (HRC) dynamics play a key role in …
equipment in stroke rehabilitation. Human-robot coupling (HRC) dynamics play a key role in …
Adaptive assist-as-needed upper limb mirror control strategy
H LI, S HU, A SONG - 电子与信息学报, 2022 - jeit.ac.cn
In order to improve the initiative of hemiplegic patients and system anti-interference in the
mirror rehabilitation training process, an upper limb mirror control strategy based on …
mirror rehabilitation training process, an upper limb mirror control strategy based on …
Bl-Nonlinear Model Predictive Control Design: A Case Study on Wrist Rehabilitation Robot
H Ahmadian, HA Talebi, I Sharifi - 2022 10th RSI International …, 2022 - ieeexplore.ieee.org
To maximize the benefits of robot rehabilitation and increase patient involvement in their
treatment, control algorithms must be improved. While carrying out the movement, the model …
treatment, control algorithms must be improved. While carrying out the movement, the model …