• DocumentCode
    10267
  • Title

    A Robotic Platform to Assess, Guide and Perturb Rat Forelimb Movements

  • Author

    Vigaru, Bogdan C. ; Lambercy, Olivier ; Schubring-Giese, Maximilian ; Hosp, Jonas A. ; Schneider, Markus ; Osei-Atiemo, Clement ; Luft, Andreas ; Gassert, Roger

  • Author_Institution
    Dept. of Health Sci. & Technol., ETH Zurich, Zurich, Switzerland
  • Volume
    21
  • Issue
    5
  • fYear
    2013
  • fDate
    Sept. 2013
  • Firstpage
    796
  • Lastpage
    805
  • Abstract
    Animal models are widely used to explore the mechanisms underlying sensorimotor control and learning. However, current experimental paradigms allow only limited control over task difficulty and cannot provide detailed information on forelimb kinematics and dynamics. Here we propose a novel robotic device for use in motor learning investigations with rats. The compact, highly transparent, three degree-of-freedom manipulandum is capable of rendering nominal forces of 2 N to guide or perturb rat forelimb movements, while providing objective and quantitative assessments of endpoint motor performance in a 50×30 mm2 planar workspace. Preliminary experiments with six healthy rats show that the animals can be familiarized with the experimental setup and are able to grasp and manipulate the end-effector of the robot. Further, dynamic perturbations and guiding force fields (i.e., haptic tunnels) rendered by the device had significant influence on rat motor behavior (ANOVA, ). This approach opens up new research avenues for future characterizations of motor learning stages, both in healthy and in stroke models.
  • Keywords
    biomechanics; kinematics; medical disorders; medical robotics; statistical analysis; ANOVA analysis; animal model; degree-of-freedom manipulandum; forelimb dynamics; forelimb kinematics; guiding force fields; haptic tunnels; healthy model; rat forelimb movement; robotic platform; sensorimotor control; sensorimotor learning; stroke model; Dynamics; Force; Friction; Kinematics; Rats; Robots; Animal models; endpoint kinematics; force fields; motor learning; robotic manipulandum; Algorithms; Animals; Biomechanical Phenomena; Data Interpretation, Statistical; Electronics; Environment; Equipment Design; Forelimb; Learning; Male; Motor Skills; Movement; Rats; Rats, Long-Evans; Robotics;
  • fLanguage
    English
  • Journal_Title
    Neural Systems and Rehabilitation Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1534-4320
  • Type

    jour

  • DOI
    10.1109/TNSRE.2013.2240014
  • Filename
    6410435