DocumentCode
1984484
Title
Adaptation to visuomotor rotation in isometric reaching is similar to movement adaptation
Author
Rotella, Michele F. ; Koehler, M. ; Nisky, Ilana ; Bastian, Amy J. ; Okamura, Allison M.
Author_Institution
Dept. of Mech. Eng., Stanford Univ., Stanford, CA, USA
fYear
2013
fDate
24-26 June 2013
Firstpage
1
Lastpage
6
Abstract
Isometric reaching, in which the arm remains stationary and the user controls a virtual cursor via force input, is a motor task that has not been thoroughly compared to real reaching. In this study, we ask if isometric adaptation to a kinematic perturbation is similar to adaptation in movement, and if the type of isometric mapping (position or velocity control) influences learning. Healthy subjects made real and virtual reaches with the arm in plane. In some trials, the cursor was rotated counter clockwise by 45° to perturb the kinematic mapping. To assess adaptation, the angular error of cursor movement at 150 ms from movement onset was measured for each reach; error was averaged across subjects and a two-state learning mode was fit to error data. For movement and isometric groups, average angular error peaked at perturbation onset, reduced over 200 reaches, and reversed direction when the perturbation was removed. We show that subjects are able to adapt to a visuomotor rotation in both position- and velocity-based cursor control, and that the time course of adaptation resembles that of movement adaptation. Training of virtual reaching using force/torque input could be particularly applicable for stroke patients with significant movement deficits, who could benefit from intensive treatments using simple, cost-effective devices.
Keywords
force measurement; force sensors; patient rehabilitation; position control; torque measurement; user interfaces; velocity control; adaptation assessment; arm; cost-effective device; cursor movement angular error; cursor rotation; force input; healthy subjects; isometric adaptation; isometric group; isometric mapping; isometric reaching; kinematic mapping; kinematic perturbation; motor task; movement adaptation; movement deficit; movement onset; perturbation onset; position-based cursor control; stroke patients; torque input; two-state learning mode; user virtual cursor control; velocity-based cursor control; virtual reach; visuomotor rotation; Adaptation models; Force; Frequency modulation; IP networks; Kinematics; Trajectory; Visualization;
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.2013.6650431
Filename
6650431
Link To Document