• DocumentCode
    1264257
  • Title

    Kinematics of Reaching Movements in a 2-D Virtual Environment in Adults With and Without Stroke

  • Author

    Liebermann, D.G. ; Berman, S. ; Weiss, P.L. ; Levin, M.F.

  • Author_Institution
    Phys. Therapy Dept., Tel Aviv Univ., Ramat Aviv, Israel
  • Volume
    20
  • Issue
    6
  • fYear
    2012
  • Firstpage
    778
  • Lastpage
    787
  • Abstract
    Virtual reality environments are increasingly being used for upper limb rehabilitation in poststroke patients. Our goal was to determine if arm reaching movements made in a 2-D video-capture virtual reality environment are similar to those made in a comparable physical environment. We compared arm and trunk kinematics for reaches made with the right, dominant arm to three targets (14 trials per target) in both environments by 16 adults with right poststroke hemiparesis and by eight healthy age-matched controls. Movement kinematics were recorded with a three-camera optoelectronic system at 100 samples/s. Reaching movements made by both control and stroke subjects were affected by viewing the targets in the video-capture 2-D virtual environment. Movements were slower, shorter, less straight, less accurate and involved smaller ranges of shoulder and elbow joint excursions for target reaches in the virtual environment compared to the physical environment in all subjects. Thus, there was a decrease in the overall movement quality for movements made in the 2-D virtual environment. This suggests that 2-D video-capture virtual reality environments should be used with caution when the goal of the rehabilitation program is to improve the quality of movement patterns of the upper limb.
  • Keywords
    biomechanics; biomedical optical imaging; diseases; kinematics; medical computing; patient rehabilitation; virtual reality; 2D video-capture virtual reality environment; arm kinematics; arm reaching movements; comparable physical environment; elbow joint; healthy age-matched controls; poststroke patients; right arm; right poststroke hemiparesis; shoulder; three-camera optoelectronic system; trunk kinematics; upper limb rehabilitation program; Arm; Elbow; Kinematics; Patient rehabilitation; Shoulder; Virtual environments; Arm movement; kinematics; recovery; rehabilitation; virtual reality; Aged; Aged, 80 and over; Analysis of Variance; Arm; Biomechanics; Calibration; Computer Simulation; Cues; Elbow Joint; Environment; Female; Humans; Male; Middle Aged; Movement; Paresis; Psychomotor Performance; Shoulder Joint; Stroke; User-Computer Interface;
  • fLanguage
    English
  • Journal_Title
    Neural Systems and Rehabilitation Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1534-4320
  • Type

    jour

  • DOI
    10.1109/TNSRE.2012.2206117
  • Filename
    6268348