DocumentCode :
2309919
Title :
The design of a new upper limb rehabilitation robot system based on multi-source data fusion
Author :
Meng, Fancheng ; Dai, Yaping ; Jin, Ying ; Wang, Yanni
Author_Institution :
Sch. of Autom., Beijing Inst. of Technol., Beijing, China
fYear :
2012
fDate :
6-8 July 2012
Firstpage :
3840
Lastpage :
3845
Abstract :
The aim of the paper is to develop a upper limb rehabilitation robot system (DPRs) capable of making both patient assessment and robot-aided assessment. Using the rehabilitation robot system, patients can repeatedly train in high efficiency and can replicate many of the human training. In the paper. First a diamond rehabilitation robot(DR)was designed and its model was also given. Then an evaluation unit to improve patient assessment based on multi-source data fusion tecnology was proposed, the evaluation unit mainly was used to yeild a qualititative value based on the quantitative analytical models, and then according to the qualititative value of the performance evaluation and active index, a resistance/assistance control strategy was designed to realize rehabilitation training more effectively. Finally the rehabilitation robot´s control system was simulated and analyzed. Experiments showed that the DPRs purposed is helpful for the disabled patients and it can coordinate and train the patient´s upper limb comfortingly and safely, and also has dynamic performance and high flexibility.
Keywords :
control system synthesis; human-robot interaction; medical robotics; patient rehabilitation; performance evaluation; sensor fusion; training; DPR; DR robot design; active index; assistance control strategy; diamond rehabilitation robot; disabled patients; dynamic performance; evaluation unit; human training; multisource data fusion; patient assessment; performance evaluation; qualititative value; quantitative analytical models; rehabilitation training; resistance control strategy; robot-aided assessment; upper limb rehabilitation robot system design; Analytical models; Force; Robot kinematics; Robot sensing systems; Training; Trajectory; Assistance; Clinica scale; Evaluation; Multi-source data fusion; Patient assessment; Resistance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
Type :
conf
DOI :
10.1109/WCICA.2012.6359113
Filename :
6359113
Link To Document :
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