DocumentCode :
2941838
Title :
Skill generalization relevant to robotic neuro-rehabilitation
Author :
Bansal, Deivya ; Kenyon, Robert ; Patton, James L.
Author_Institution :
Robot. Lab., Univ. of Illinois-Chicago, Chicago, IL, USA
fYear :
2010
fDate :
Aug. 31 2010-Sept. 4 2010
Firstpage :
2250
Lastpage :
2254
Abstract :
Upper limb extremity rehabilitation practices are increasingly involving robotic interaction for repetitive practice, and there is increasing skepticism whether such systems can provide the relevant practice that can be generalized (or transferred) to functional activities in the real world. Most importantly, will patients be able to generalize in three critical ways: (1) to unpracticed directions, (2) to unpracticed movement distances, and (3) to unpracticed weight-eliminated conditions? Rather than presuming that patients could generalize in three conditions, this study tested whether there was any evidence of such generalization ability in healthy individuals. We found that there was some evidence in all conditions except for the ability of healthy subjects to generalize to large movements after practicing small. Such results suggest that larger robotic systems are advantageous for training the functional motions that can include large actions.
Keywords :
medical robotics; neurophysiology; patient rehabilitation; robot kinematics; virtual reality; repetitive practice; robotic interaction; robotic neuro-rehabilitation; skill generalization; unpracticed directions; unpracticed movement distances; unpracticed weight-eliminated condition; upper limb extremity rehabilitation; Gravity; Performance evaluation; Robot sensing systems; Training; Virtual reality; Visualization; Activities of Daily Living; Adult; Algorithms; Arm Injuries; Equipment Design; Female; Humans; Male; Motor Activity; Movement; Movement Disorders; Nervous System; Robotics; Upper Extremity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4123-5
Type :
conf
DOI :
10.1109/IEMBS.2010.5627308
Filename :
5627308
Link To Document :
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