Title :
Using a robotic interface and haptic feedback to improve grip coordination of hand function following stroke — Case study
Author :
Kazemi, Hamed ; Kearney, Robert E. ; Milner, Theodore E.
Author_Institution :
Dept. of Biomed. Eng., McGill Univ., Montreal, QC, Canada
Abstract :
This paper presents preliminary data on investigating the effect of a novel grip coordination exercise using a robotic interface to improve coordination between wrist and fingers following stroke. Pilot data from a post-stroke subject indicates that after receiving 4 weeks (1 hour × 3 days per week) of grip coordination training, the subject significantly reduced the grip force used in performing the grasp and twist task and avoided using excessive force to stabilize the object. The grip force after training was more similar to control performance. In addition, the parallel coupling of grip force and load torque as well as close amplitude coupling of force produced by the thumb and the rest of the fingers increased and became more similar to that of control subjects.
Keywords :
grippers; haptic interfaces; medical computing; medical robotics; patient treatment; fingers; grasp task; grip coordination exercise; grip coordination training; grip force; hand function following stroke; haptic feedback; load torque; parallel coupling; robotic interface; twist task; wrist; Force; Robot kinematics; Thumb; Torque; Training; grip coordination; grip force control; hand function; haptic feedback; rehabilitation robotic; stroke;
Conference_Titel :
Virtual Rehabilitation (ICVR), 2013 International Conference on
Conference_Location :
Philadelphia, PA
DOI :
10.1109/ICVR.2013.6662128