Title :
Augmented Dynamics and Motor Exploration as Training for Stroke
Author :
Huang, Felix C. ; Patton, James L.
Author_Institution :
Dept. of Biomed. Eng., Northwestern Univ., Chicago, IL, USA
Abstract :
With chronic stroke survivors (n = 30), we investigated how upper extremity training with negative viscosity affects coordination under unperturbed conditions. Subjects trained with a planar robotic interface simulating 1) negative viscosity augmented to elbow and shoulder joints; 2) negative viscosity combined with inertia; or 3) a null-field condition. Two treatment groups practiced with both force conditions (cross-over design), while a control group practiced with a null-field condition. Training (exploratory movement) and evaluations (prescribed circular movement) alternated in several phases to facilitate transfer from forces to the null field. Negative viscosity expanded exploration especially in the sagittal axis, and resulted in significant within-day improvements. Both treatment groups exhibited next day retention unobserved in the control. Our results suggest enhanced learning from forces that induce a broader range of kinematics. This study supports the use of robot-assisted training that encourages active patient involvement by preserving efferent commands for driving movement.
Keywords :
biomechanics; human-robot interaction; medical robotics; patient rehabilitation; patient treatment; robot kinematics; user interfaces; active patient; augmented dynamics; chronic stroke survivors; circular movement; cross-over design; driving movement; elbow; exploratory movement; force conditions; inertia; kinematics; motor exploration; negative viscosity affects; null-field condition; planar robotic interface; robot-assisted training; sagittal axis; shoulder joints; stroke training; upper extremity training; Acceleration; Dynamics; Force; Robot kinematics; Training; Viscosity; Robotic rehabilitation; skill transfer; stroke; upper extremity; Adult; Analysis of Variance; Exercise Therapy; Humans; Middle Aged; Movement; Robotics; Stroke; Task Performance and Analysis; Therapy, Computer-Assisted; Upper Extremity;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2012.2192116