Clinical VR applications with the light-exoskeleton for upper-part neurorehabilitation

It is well-known that virtual reality (VR) is a powerful and promising computer-based technology for the motor recovery in stroke patients. The importance of using VR into arm rehabilitation has coined it as clinical VR; where its main sake is to improve the recovery process of post-stroke patients. In this regard, physical therapy and occupational therapy are provided by such technology. As we shall see into this contribution, interesting clinical VR applications have been designed for handling effectively the brain plasticity in chronic stroke patients. To this end, we use the so-called Light¿Exoskeleton which has been presented for arm-robotic therapy such that it serves as the kinesthetic feedback stimulator for assisting the patient during the rehabilitation sessions.

[1]  Noomi Katz,et al.  Video capture virtual reality as a flexible and effective rehabilitation tool , 2004, Journal of NeuroEngineering and Rehabilitation.

[2]  Antonio Frisoli,et al.  Robot-mediated arm rehabilitation in Virtual Environments for chronic stroke patients: A clinical study , 2008, 2008 IEEE International Conference on Robotics and Automation.

[3]  J.C. Perry,et al.  Upper-Limb Powered Exoskeleton Design , 2007, IEEE/ASME Transactions on Mechatronics.

[4]  Grigore C. Burdea,et al.  Treating Psychological and Physical Disorders with VR , 2022 .

[5]  T. Flash,et al.  The coordination of arm movements: an experimentally confirmed mathematical model , 1985, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[6]  M. Hallett,et al.  Virtual Reality–Induced Cortical Reorganization and Associated Locomotor Recovery in Chronic Stroke: An Experimenter-Blind Randomized Study , 2005, Stroke.

[7]  Luis M. Camarinha-Matos,et al.  Emerging Trends in Technological Innovation, First IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2010, Costa de Caparica, Portugal, February 22-24, 2010. Proceedings , 2010, DoCEIS.

[8]  Antonio Frisoli,et al.  Haptic guidance of Light-Exoskeleton for arm-rehabilitation tasks , 2009, RO-MAN 2009 - The 18th IEEE International Symposium on Robot and Human Interactive Communication.

[9]  D. Reinkensmeyer,et al.  Review of control strategies for robotic movement training after neurologic injury , 2009, Journal of NeuroEngineering and Rehabilitation.

[10]  John Kenneth Salisbury,et al.  Haptic Rendering: Introductory Concepts , 2004, IEEE Computer Graphics and Applications.

[11]  Robert Riener,et al.  ARMin II - 7 DoF rehabilitation robot: mechanics and kinematics , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

[12]  Sandeep K Subramanian,et al.  Virtual reality environments for post-stroke arm rehabilitation , 2007, Journal of NeuroEngineering and Rehabilitation.

[13]  Antonio Frisoli,et al.  Right-Arm Robotic-Aided-Therapy with the Light-Exoskeleton: A General Overview , 2010, DoCEIS.

[14]  N. Hogan,et al.  Robot-aided neurorehabilitation. , 1998, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.