DocumentCode :
1984894
Title :
A finger exoskeleton for rehabilitation and brain image study
Author :
Zhenjin Tang ; Sugano, S. ; Iwata, Hiroshi
Author_Institution :
Dept. of Modern Mech. Eng., Waseda Univ., Tokyo, Japan
fYear :
2013
fDate :
24-26 June 2013
Firstpage :
1
Lastpage :
6
Abstract :
This paper introduces the design, fabrication and evaluation of the second generation prototype of a magnetic resonance compatible finger rehabilitation robot. It can not only be used as a finger rehabilitation training tool after a stroke, but also to study the brain´s recovery process during the rehabilitation therapy (ReT). The mechanical design of the current generation has overcome the disadvantage in the previous version[13], which can´t provide precise finger trajectories during flexion and extension motion varying with different finger joints´ torques. In addition, in order to study the brain activation under different training strategies, three control modes have been developed, compared to only one control mode in the last prototype. The current prototype, like the last version, uses an ultrasonic motor as its actuator to enable the patient to do extension and flexion rehabilitation exercises in two degrees of freedom (DOF) for each finger. Finally, experiments have been carried out to evaluate the performances of this device.
Keywords :
biomedical MRI; dexterous manipulators; human-robot interaction; medical image processing; medical robotics; motion control; patient rehabilitation; robot vision; torque control; brain image study; brain recovery process; extension rehabilitation exercises; finger exoskeleton; finger rehabilitation training tool; flexion rehabilitation exercises; magnetic resonance compatible finger rehabilitation robot; mechanical design; rehabilitation study; rehabilitation therapy; stroke; Actuators; Joints; Magnetic resonance imaging; Robot sensing systems; Thumb; MRI compatible; brain image; finger rehabilitation; ultrasonic motor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Rehabilitation Robotics (ICORR), 2013 IEEE International Conference on
Conference_Location :
Seattle, WA
ISSN :
1945-7898
Print_ISBN :
978-1-4673-6022-7
Type :
conf
DOI :
10.1109/ICORR.2013.6650446
Filename :
6650446
Link To Document :
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