DocumentCode :
2060773
Title :
A novel design approach for lower limb rehabilitation training robot
Author :
Jiangcheng Chen ; Xiaodong Zhang ; Rui Li
Author_Institution :
Sch. of Mech. Eng., Xi´an Jiaotong Univ., Xi´an, China
fYear :
2013
fDate :
17-20 Aug. 2013
Firstpage :
554
Lastpage :
557
Abstract :
The restoration of walking capability is very important after central nervous system (CNS) injury. Rehabilitation training robot can replace therapists to help patients do walking training by accurately simulating the human lower limb movement, and achieve the purpose of rehabilitation ultimately. In order to further improve the rehabilitation robots´ intelligent and rehabilitation training effect and completely replace therapists to some extent, a new design method is proposed in this paper: firstly, the pleasant mechanical structure design method for the rehabilitation robot is put forward. Then, the rehabilitation robot´s perceptual system is designed, which includes the detection methods of bioelectric and physical signals and the effective integration of the sensor network based on multi-agent system are presented. Finally, the superiority of the rehabilitation robot designed in this paper is described through results analysis.
Keywords :
medical robotics; multi-agent systems; patient rehabilitation; signal detection; bioelectric signal detection method; central nervous system injury; lower limb rehabilitation training robot; mechanical structure design method; multiagent system; physical signal detection method; rehabilitation robot intelligent training; rehabilitation robot perceptual system; sensor network; walking capability restoration; walking training; Electroencephalography; Exoskeletons; Joints; Legged locomotion; Robot sensing systems; Training; Exoskeleton; Human-machine interaction; Rehabilitation robot; System integration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation Science and Engineering (CASE), 2013 IEEE International Conference on
Conference_Location :
Madison, WI
ISSN :
2161-8070
Type :
conf
DOI :
10.1109/CoASE.2013.6653944
Filename :
6653944
Link To Document :
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