DocumentCode :
1984349
Title :
A soft robotic exomusculature glove with integrated sEMG sensing for hand rehabilitation
Author :
Delph, Michael A. ; Fischer, Sarah A. ; Gauthier, Phillip W. ; Luna, Carlos H. Martinez ; Clancy, Edward A. ; Fischer, Gregory S.
Author_Institution :
AIM Lab., Worcester Polytech. Inst., Worcester, MA, USA
fYear :
2013
fDate :
24-26 June 2013
Firstpage :
1
Lastpage :
7
Abstract :
Stroke affects 750,000 people annually, and 80% of stroke survivors are left with weakened limbs and hands. Repetitive hand movement is often used as a rehabilitation technique in order to regain hand movement and strength. In order to facilitate this rehabilitation, a robotic glove was designed to aid in the movement and coordination of gripping exercises. This glove utilizes a cable system to open and close a patients hand. The cables are actuated by servomotors, mounted in a backpack weighing 13.2lbs including battery power sources. The glove can be controlled in terms of finger position and grip force through switch interface, software program, or surface myoelectric (sEMG) signal. The primary control modes of the system provide: active assistance, active resistance and a preprogrammed mode. This project developed a working prototype of the rehabilitative robotic glove which actuates the fingers over a full range of motion across one degree-of-freedom, and is capable of generating a maximum 15N grip force.
Keywords :
electromyography; medical robotics; patient rehabilitation; servomotors; active assistance; active resistance; backpack weighing; battery power sources; cable system; grip force; hand rehabilitation; integrated sEMG sensing; preprogrammed mode; primary control modes; rehabilitation technique; rehabilitative robotic glove; repetitive hand movement; sEMG signal; servomotors; soft robotic exomusculature glove; software program; stroke affects; stroke survivors; surface myoelectric; switch interface; weakened limbs; Electrodes; Electromyography; Medical treatment; Muscles; Robot kinematics; Servomotors;
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.2013.6650426
Filename :
6650426
Link To Document :
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