Design and Implementation of a Rehabilitation Training Control System for Stroke Patients

2014 ◽  
Vol 670-671 ◽  
pp. 1406-1409
Author(s):  
Fu Cheng Cao ◽  
Xian Wei Wang
Keyword(s):  
Control System ◽  
Lower Cost ◽  
Control Strategies ◽  
Gait Rehabilitation ◽  
Stroke Patients ◽  
Rehabilitation Training ◽  
Lower Limb Exoskeleton ◽  
Control Scheme ◽  
Advanced Control ◽  
Training Control

This paper involved designing and implementing a control system of lower limb exoskeleton. In order to combine the unity of the hardware with the flexibility of the software, a full digital control scheme integrated based on DSP processor was presented. By embedding advanced control strategies, the system can effectively control the exoskeleton joint motor. The proposed system can achieve accurate active or passive gait rehabilitation training along the trajectory planed and retrain their muscles and feeling of walking in their legs for paralysis patients at a lower cost.

Development and Application on the Optimization Control System of the Gas Collector Pressure in Coke Oven

2013 ◽  
Vol 756-759 ◽  
pp. 415-419
Author(s):  
Xue Jun He ◽  
Zong Ren Gao ◽  
Jun Zhang
Keyword(s):  
Control System ◽  
Control Strategies ◽  
Engineering Application ◽  
Coke Oven ◽  
Pressure Control ◽  
Decoupling Control ◽  
Control Scheme ◽  
Advanced Control ◽  
Optimization Control ◽  
Pressure Control System

In view of the pressure control system of the large gas collector in coke oven, this paper puts forward a optimization control scheme of coke oven collector pressure intelligent decoupling control system. Using a variety of advanced control strategies based on the DCS , it develops a large coke oven collector pressure control system.The engineering application shows that the system design is versatile and effectiveness.

Research on Integrated Control System of the Gas Pressure in Coke Oven

2013 ◽  
Vol 397-400 ◽  
pp. 1214-1219
Author(s):  
Xia Bai ◽  
Da Lu Guan ◽  
Chen Rui
Keyword(s):  
Control System ◽  
Control Strategies ◽  
Integrated Control ◽  
Control Object ◽  
Coke Oven ◽  
Pressure Control ◽  
Expert Control ◽  
Control Scheme ◽  
Hardware Reliability ◽  
Pressure Control System

This paper combines hardware reliability and software mobility with modern intelligent control through the analysis of the control object using intelligent decoupling control scheme to control the pressure control system of the large gas collector in coke oven. By using expert control strategies based on the DCS, the paper develops the system design which is versatile and effective.

5-Link model based gait trajectory adaption control strategies of the gait rehabilitation exoskeleton for post-stroke patients

Mechatronics ◽  
2010 ◽  
Vol 20 (3) ◽  
pp. 368-376 ◽  
Author(s):  
Jia-fan Zhang ◽  
Yi-ming Dong ◽  
Can-jun Yang ◽  
Yu Geng ◽  
Ying Chen ◽  
...  
Keyword(s):  
Control Strategies ◽  
Gait Rehabilitation ◽  
Stroke Patients ◽  
Post Stroke ◽  
Model Based ◽  
Link Model

scholarly journals A Construction Method of Lower Limb Rehabilitation Robot with Remote Control System

2021 ◽  
Vol 11 (2) ◽  
pp. 867
Author(s):  
Mingda Miao ◽  
Xueshan Gao ◽  
Wei Zhu
Keyword(s):  
Control System ◽  
Remote Control ◽  
Lower Limb ◽  
Human Motion ◽  
Practical Training ◽  
Rehabilitation Robot ◽  
Stroke Patients ◽  
Rehabilitation Training ◽  
Limb Rehabilitation ◽  
Lower Limb Rehabilitation

In response to the rehabilitation needs of stroke patients who are unable to benefit from conventional rehabilitation due to the COVID-19 epidemic, this paper designs a robot that combines on-site and telerehabilitation. The objective is to assist the patient in walking. We design the electromechanical system with a gantry mechanism, body-weight support system, information feedback system, and man-machine interactive control system. The proposed rehabilitation robot remote system is based on the client/server (C/S) network framework to realize the remote control of the robot state logic and the transmission of patient training data. Based on the proposed system, doctors can set or adjust the training modes and control the parameters of the robot and guide remote patient rehabilitation training through video communication. The robotic system can further store and manage the rehabilitation data of the patient during training. Experiments show the human-computer interaction system of the lower limb rehabilitation robot has good performance, can accurately recognize the information of human motion posture, and achieve the goal of actively the following motion. Experiments confirm the feasibility of the proposed design, the information management of stroke patients, and the efficiency of rehabilitation training. The proposed system can reduce the workload of the doctors in practical training.

Intelligent Control and Management Integrated System of Coke Oven

2011 ◽  
Vol 460-461 ◽  
pp. 625-630
Author(s):  
Gong Fa Li ◽  
Jian Yi Kong ◽  
Guo Zhang Jiang ◽  
Liang Xi Xie
Keyword(s):  
Control System ◽  
Intelligent Control ◽  
Integrated Control ◽  
Coke Oven ◽  
Pressure Control ◽  
Integrated System ◽  
Control Scheme ◽  
Advanced Control ◽  
Control And Management ◽  
And Control

In order to improve the level of control and management of coke oven, the research on control and management integrated system is carried out. In modern advanced control system of coke oven, the control scheme of feedback combined with feed-forward, and control merged with management is widely used. The integrated control and management system of coke oven is introduced systematically, including the system model, production planning and management, heating control system, the model and method of evaluating temperature, intelligent combustion control and the pressure control gas collector of coke oven. It is pointed out that the integration of control and management is the developing orientation of coke oven control system.

Deep learning analysis based on multi-sensor fusion data for hemiplegia rehabilitation training system for stoke patients

Robotica ◽  
2021 ◽  
pp. 1-18
Author(s):  
Peng Zhang ◽  
Junxia Zhang
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Short Term Memory ◽  
Training System ◽  
Sensor Data ◽  
Hybrid Network ◽  
Stroke Patients ◽  
Rehabilitation Training ◽  
Lower Limb Exoskeleton ◽  
Active Rehabilitation

Abstract By recognizing the motion of the healthy side, the lower limb exoskeleton robot can provide therapy to the affected side of stroke patients. To improve the accuracy of motion intention recognition based on sensor data, the research based on deep learning was carried out. Eighty healthy subjects performed gait experiments under five different gait environments (flat ground, 10 ${}^\circ$ upslope and downslope, and upstairs and downstairs) by simulating stroke patients. To facilitate the training and classification of the neural network, this paper presents template processing schemes to adapt to different data formats. The novel algorithm model of a hybrid network model based on convolutional neural network (CNN) and Long–short-term memory (LSTM) model is constructed. To mitigate the data-sparse problem, a spatial–temporal-embedded LSTM model (SQLSTM) combining spatial–temporal influence with the LSTM model is proposed. The proposed CNN-SQLSTM model is evaluated on a real trajectory dataset, and the results demonstrate the effectiveness of the proposed model. The proposed method will be used to guide the control strategy design of robot system for active rehabilitation training.

Design of Lower Limb Exoskeleton for Stroke Patients Gait Rehabilitation

2021 ◽  
Author(s):  
Kadek Heri Sanjaya ◽  
Dwi Esti Kusumandari ◽  
Rina Ristiana ◽  
Zaki Ambadar ◽  
Dhiny Hari Utama ◽  
...  
Keyword(s):  
Lower Limb ◽  
Gait Rehabilitation ◽  
Stroke Patients ◽  
Lower Limb Exoskeleton
Sign in / Sign up

Export Citation Format

Share Document