A kinematic model of an upper limb rehabilitation robot system

This paper presents a kinematic model of an upper limb rehabilitation robot system based on Denavit-Hartenberg parameters method. The system possesses advantages of less weight, compact size, and interaction in the rehabilitation process. Furthermore it can provide a sufficient work room for the patient's upper limb. This system mainly consists of an upper limb exoskeleton rehabilitation device (ULERD), a haptic device called PHANTOM Premium, and an interactive virtual reality environment. The proposed rehabilitation robot system is a master-slave system. The impaired hand is hard bolted to the ULERD, so the doctor (or the intact hand of patients) can move the stylus of PHAMTOM Premium and guide the injured hand to move along some predefined training track. This paper aims to establish a kinematic model of the rehabilitation robot system. A kinematic model focusing on the ULERD and the PHANTOM Premium is built to ensure the consistency for both the Phantom side and ULERD side. DH-parameters-based modeling can be an effective method in kinematic modeling of a robot.

[1]  C. Burgar,et al.  Robot-assisted upper-limb therapy in acute rehabilitation setting following stroke: Department of Veterans Affairs multisite clinical trial. , 2011, Journal of rehabilitation research and development.

[2]  Shuxiang Guo,et al.  A novel VR-based upper limb rehabilitation robot system , 2013, 2013 ICME International Conference on Complex Medical Engineering.

[3]  W. Rymer,et al.  Understanding and treating arm movement impairment after chronic brain injury: progress with the ARM guide. , 2014, Journal of rehabilitation research and development.

[4]  W. Harwin,et al.  The effect of the GENTLE/s robot-mediated therapy system on arm function after stroke , 2008, Clinical rehabilitation.

[5]  Chou-Ching K. Lin,et al.  Neuro-rehabilitation robot-assisted assessments of synergy patterns of forearm, elbow and shoulder joints in chronic stroke patients. , 2010, Clinical biomechanics.

[6]  Shuxiang Guo,et al.  ULERD-based active training for upper limb rehabilitation , 2012, 2012 IEEE International Conference on Mechatronics and Automation.

[7]  Li-Chen Fu,et al.  An articulated rehabilitation robot for upper limb physiotherapy and training , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[8]  Shuxiang Guo,et al.  Design Process of Exoskeleton Rehabilitation Device and Implementation of Bilateral Upper Limb Motor Movement , 2011 .

[9]  W. Harwin,et al.  Effects of the Gentle/s Robot Mediated Therapy on the Outcome of Upper Limb Rehabilitation Post-Stroke: Analysis of the Battle Hospital Data , 2003 .

[10]  Hermano I Krebs,et al.  Rehabilitation robotics: pilot trial of a spatial extension for MIT-Manus , 2004, Journal of NeuroEngineering and Rehabilitation.

[11]  Song Aiguo Internet Based Tele-Rehabilitation Exercise Manipulator , 2007 .

[12]  J. Denavit,et al.  A kinematic notation for lower pair mechanisms based on matrices , 1955 .

[13]  Shuxiang Guo,et al.  Development of an upper extremity motor function rehabilitation system and an assessment system , 2011, Int. J. Mechatronics Autom..

[14]  Shuxiang Guo,et al.  Design of a master-slave rehabilitation system using self-tuning fuzzy PI controller , 2012, 2012 IEEE International Conference on Mechatronics and Automation.

[15]  Robert Riener,et al.  ARMin: a robot for patient-cooperative arm therapy , 2007, Medical & Biological Engineering & Computing.