Simulation and Research of Upper Limb Rehabilitation Evaluation System Based on Micro Inertial Sensor Network

2020 ◽  
pp. 25-40
Author(s):  
Lumin Chen ◽  
Yihao Li ◽  
Lina Han ◽  
Liang Yuan ◽  
Yuxiang Sun ◽  
...  
Keyword(s):  
Sensor Network ◽  
Upper Limb ◽  
Evaluation System ◽  
Inertial Sensor ◽  
Upper Limb Rehabilitation ◽  
Limb Rehabilitation

Virtual Reality Simulation of 5dof Upper-Limb Rehabilitation Robot Based on Fuzzy Neural Network

2011 ◽  
Vol 48-49 ◽  
pp. 1345-1350
Author(s):  
Xing Li ◽  
Jian Hui Wang ◽  
Xiao Ke Fang
Keyword(s):  
Neural Network ◽  
Virtual Reality ◽  
Upper Limb ◽  
Evaluation System ◽  
Fuzzy Neural Network ◽  
Rehabilitation Robot ◽  
Virtual Reality Simulation ◽  
Upper Limb Rehabilitation ◽  
Fuzzy Neural ◽  
Limb Rehabilitation

In this paper, aiming at the structure of upper-limb rehabilitation robot, establish the model of algorithmic control based on fuzzy neural network and virtual reality simulation model for 5dof upper-limb rehabilitant robot, and take the elbow joint for example to do simulation analysis. The result of simulation shows the fuzzy neural network control is practicable and its control accuracy takes the precedence over the traditional methods. The virtual-reality simulation of 5dof upper-limb rehabilitation robot, which is benefit to understand the complex relationships among the objects, can emulate the features of real rehabilitation robot, laying a solid foundation for rehabilitation evaluation system and telemedicine.

Dynamic Weighted Bar for Upper Limb Rehabilitation

2016 ◽  
Vol 10 (4) ◽  
Author(s):  
Taylor C. Hornung ◽  
Stephen J. Piazza ◽  
Everett C. Hills ◽  
Jason Z. Moore
Keyword(s):  
Upper Limb ◽  
Inertial Sensor ◽  
Center Of Mass ◽  
Quantitative Information ◽  
Motion Information ◽  
Performance Information ◽  
Upper Limb Rehabilitation ◽  
Quantitative Performance ◽  
Limb Rehabilitation ◽  
Rehabilitation Exercise

This paper explores the design of a dynamically weighted therapy bar, which can provide real-time quantitative performance information and adjustments during rehabilitation exercise. In contrast, typical therapy equipment is passive, offering no feedback to the patient or clinician. The dynamic weighted bar (DWB) was designed and fabricated containing an inertial sensor which tracks the orientation of the bar and adjusts the position of an internal weight accordingly, in turn providing a targeted force imbalance between the patient's two arms. Step input experiments were performed on the device while it was held in various stationary positions. The DWB was able to successfully function and transmit motion information. It was able to produce a center of mass shift of 101.6 mm, and a complete travel time between 0.96 s and 1.41 s over the entire length. The use of the DWB device can offer many benefits during rehabilitation including access to more quantitative information for clinicians as well as the potential for more personalized therapy programs.

Upper-limb Rehabilitation Robot Based on Motor Imagery EEG

ROBOT ◽  
2011 ◽  
Vol 33 (3) ◽  
pp. 307-313 ◽  
Author(s):  
Baoguo XU ◽  
Si PENG ◽  
Aiguo SONG
Keyword(s):  
Motor Imagery ◽  
Upper Limb ◽  
Rehabilitation Robot ◽  
Upper Limb Rehabilitation ◽  
Limb Rehabilitation

Upper-limb Rehabilitation Robot Motion Control Based on Dynamic Interpolation

ROBOT ◽  
2012 ◽  
Vol 34 (5) ◽  
pp. 539 ◽  
Author(s):  
Lizheng PAN ◽  
Aiguo SONG ◽  
Guozheng XU ◽  
Huijun LI ◽  
Baoguo XU
Keyword(s):  
Motion Control ◽  
Upper Limb ◽  
Robot Motion ◽  
Rehabilitation Robot ◽  
Upper Limb Rehabilitation ◽  
Limb Rehabilitation
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