DocumentCode :
380821
Title :
Altering movement patterns in healthy and brain-injured subjects via custom designed robotic forces
Author :
Patton, J.L. ; Mussa-Ivaldi, F.A. ; Rymer, W.Z.
Author_Institution :
Rehabilitation Inst. of Chicago, IL, USA
Volume :
2
fYear :
2001
fDate :
2001
Firstpage :
1356
Abstract :
We investigated robotic methods for teaching movements to hemiparetic subjects using novel techniques for neuro-adaptive control. Eight healthy subjects and twelve hemiparetic stroke subjects were exposed to novel viscous forces during planar movement of the hand towards a visual target. These forces were initially responsible for significant movement errors, but were followed by automatic adaptation. The forces were designed so that unexpected withdrawal would result in a pronounced after-effect, consisting of movement path errors that were opposite in sign to those induced by initial application of the force filed. For healthy subjects, the desired movement was a curved sinusoid. For the hemiparetics, we chose a replicated normal trajectory. After-effect trajectories in healthy subjects´ were significantly shifted toward the desired trajectory. This after-effect fully-washed out following the removal of the forces in the final 50-75 movements, regardless of whether the subjects had visual feedback of their position. After-effects also generalized to movement directions that were not practiced. Hemiparetics showed different types of results. While several of them showed minimal improvement, the remaining hemiparetics showed adaptation with beneficial after-effects. Furthermore, several in this group retained diminished features of these aftereffects for the duration of the experiment. This approach may be an effective neurorehabilitation tool because it does not require explicit instructions about the desired movement.
Keywords :
adaptive control; biocontrol; feedforward; force feedback; learning (artificial intelligence); medical robotics; neurophysiology; patient rehabilitation; after-effect; automatic adaptation; brain-injured subjects; custom designed robotic forces; feedforward plan; force field approach; healthy subjects; hemiparetic subjects; iterative algorithm; machine learning; motor control; movement path errors; movement patterns alteration; neuro-adaptive control; neurorehabilitation; planar hand movement; planar robot; replicated normal trajectory; robotic training forces; unexpected withdrawal; viscous forces; visual target; Adaptation model; Automatic control; Brain injuries; Education; Educational robots; Error correction; Force feedback; Medical robotics; Motor drives; Rehabilitation robotics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
ISSN :
1094-687X
Print_ISBN :
0-7803-7211-5
Type :
conf
DOI :
10.1109/IEMBS.2001.1020448
Filename :
1020448
Link To Document :
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