DocumentCode
2631484
Title
Limit-push training reduces motor variability
Author
Sharp, Ian ; Patton, James L.
Author_Institution
Dept. of Bioeng., Univ. of Illinois at Chicago, Chicago, IL, USA
fYear
2011
fDate
June 29 2011-July 1 2011
Firstpage
1
Lastpage
6
Abstract
Variability in human motor control has been a long observed phenomenon, which has come to be known by some as repetition without repetition. There are several explanations for this. One such explanation asserts that many equally optimal solutions exist for accomplishing the same task that naturally allows choices in how it can be successfully executed. The aim of this study was to determine whether variability could be conditioned within an invisible subspace, using visual and force feedback. We utilized a novel haptic-graphic boundary-oriented environment to condition motor variability. Subjects reduced the variability of their movements, such that action predominated within a subspace determined apriori; while the untreated group did not. These results show encouraging preliminary evidence that neural rehabilitative haptic-graphic interfaces can condition human motor variability. This type of training may benefit neurologically impaired individuals, who exhibit the commonly seen motor deficits of large trial to trial variability, such as victims of stroke and traumatic brain injury.
Keywords
brain; diseases; force feedback; haptic interfaces; injuries; medical robotics; neurophysiology; patient rehabilitation; virtual reality; force feedback; haptic-graphic boundary-oriented environment; human motor variability; limit-push training; neural rehabilitative haptic-graphic interfaces; neurologically impaired individuals; stroke; traumatic brain injury; virtual reality; Entropy; Gaussian distribution; Haptic interfaces; Measurement; Projectiles; Robots; Training; Adolescent; Adult; Brain Injuries; Female; Humans; Male; Middle Aged; Movement; Psychomotor Performance; Robotics; Young Adult;
fLanguage
English
Publisher
ieee
Conference_Titel
Rehabilitation Robotics (ICORR), 2011 IEEE International Conference on
Conference_Location
Zurich
ISSN
1945-7898
Print_ISBN
978-1-4244-9863-5
Electronic_ISBN
1945-7898
Type
conf
DOI
10.1109/ICORR.2011.5975490
Filename
5975490
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