A task oriented haptic gait rehabilitation robot

Abstract This paper presents the concept, design process, and the prototype of a novel haptics-based lower-extremity rehabilitation robot for bed-ridden stroke patients. This system, named Virtual Gait Rehabilitation Robot (ViGRR), is required to provide the average gait motion training as well as other targeted exercises such as leg press, stair stepping and motivational gaming, in order to facilitate motor learning and enable the training of daily activities such as walking and maintaining balance. The system requirements are laid out and linked to the design of a redundant planar 4DOF robot concept prototype. An iterative design optimization loop was setup to obtain the robot kinematic and dynamic parameters as well as the actuators. The robot’s mechanical design, model, safety features, admittance controllers, and the architecture of the haptic controller are presented. Preliminary experiments were planned and performed to evaluate the capability of the system in delivering task-based virtual-reality exercises and trajectory following scenarios.

[1]  S. Hesse,et al.  Upper and lower extremity robotic devices for rehabilitation and for studying motor control , 2003, Current opinion in neurology.

[2]  R. Rupp,et al.  Novel tilt table with integrated robotic stepping mechanism: design principles and clinical application , 2005, 9th International Conference on Rehabilitation Robotics, 2005. ICORR 2005..

[3]  G. Oriolo,et al.  Robotics: Modelling, Planning and Control , 2008 .

[4]  V. Dietz,et al.  Driven gait orthosis for improvement of locomotor training in paraplegic patients , 2001, Spinal Cord.

[5]  Jörg Krüger,et al.  Stable, adaptive interaction and contact transition control of a high inertia haptic interface for haptic simulation in gait rehabilitation , 2011, 2011 IEEE International Conference on Robotics and Automation.

[6]  Stefan Hesse,et al.  Innovative gait robot for the repetitive practice of floor walking and stair climbing up and down in stroke patients , 2010, Journal of NeuroEngineering and Rehabilitation.

[7]  J. Mehrholz,et al.  Improved walking ability and reduced therapeutic stress with an electromechanical gait device. , 2009, Journal of rehabilitation medicine.

[8]  M. Molinari,et al.  Rehabilitation of gait after stroke: a review towards a top-down approach , 2011, Journal of NeuroEngineering and Rehabilitation.

[9]  S. Micera,et al.  Design and Evaluation of NEUROBike: A Neurorehabilitative Platform for Bedridden Post-Stroke Patients , 2012, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[10]  A. Behrman,et al.  Neuroplasticity After Spinal Cord Injury and Training: An Emerging Paradigm Shift in Rehabilitation and Walking Recovery , 2006, Physical Therapy.

[11]  R. Riener,et al.  Identification of passive elastic joint moments in the lower extremities. , 1999, Journal of biomechanics.

[12]  David A. Winter,et al.  Biomechanics and Motor Control of Human Movement , 1990 .

[13]  Henning Schmidt,et al.  Effect of different training modes on ground reaction forces during robot assisted floor walking and stair climbing , 2009, 2009 IEEE International Conference on Rehabilitation Robotics.

[14]  M. Bouri,et al.  Improvement of rehabilitation possibilities with the MotionMaker TM , 2006, The First IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, 2006. BioRob 2006..

[15]  K. Flegal,et al.  Anthropometric reference data for children and adults: United States, 2003–2006. , 2008, National health statistics reports.

[16]  S. K. Banala,et al.  Novel Gait Adaptation and Neuromotor Training Results Using an Active Leg Exoskeleton , 2010, IEEE/ASME Transactions on Mechatronics.

[17]  Katie Daniel,et al.  What Are the Social Consequences of Stroke for Working-Aged Adults?: A Systematic Review , 2009, Stroke.

[18]  H. Barbeau,et al.  A new approach to retrain gait in stroke patients through body weight support and treadmill stimulation. , 1998, Stroke.

[19]  Michael Ortega-Binderberger,et al.  A Six Degree-of-Freedom God-Object Method for Haptic Display of Rigid Bodies with Surface Properties , 2007, IEEE Transactions on Visualization and Computer Graphics.

[20]  S. Hesse,et al.  Gait rehabilitation machines based on programmable footplates , 2007, Journal of NeuroEngineering and Rehabilitation.

[21]  T. Demott,et al.  Enhanced Gait-Related Improvements After Therapist- Versus Robotic-Assisted Locomotor Training in Subjects With Chronic Stroke: A Randomized Controlled Study , 2008, Stroke.

[22]  R. Brand,et al.  The biomechanics and motor control of human gait: Normal, elderly, and pathological , 1992 .

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

[24]  F. Reynard,et al.  The WalkTrainer—A New Generation of Walking Reeducation Device Combining Orthoses and Muscle Stimulation , 2009, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[25]  J. Hidler,et al.  Multicenter Randomized Clinical Trial Evaluating the Effectiveness of the Lokomat in Subacute Stroke , 2009, Neurorehabilitation and neural repair.

[26]  H. van der Kooij,et al.  Design and Evaluation of the LOPES Exoskeleton Robot for Interactive Gait Rehabilitation , 2007, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[27]  Karl Schurr,et al.  The Time Use and Activity Levels of Inpatients in a Co-located Acute and Rehabilitation Stroke Unit: An Observational Study , 2011, Topics in stroke rehabilitation.

[28]  Joseph Hidler,et al.  Automating activity-based interventions: the role of robotics. , 2008, Journal of rehabilitation research and development.

[29]  R. Riener,et al.  Towards more effective robotic gait training for stroke rehabilitation: a review , 2012, Journal of NeuroEngineering and Rehabilitation.

[30]  Maureen K. Holden,et al.  Virtual Environments for Motor Rehabilitation: Review , 2005, Cyberpsychology Behav. Soc. Netw..

[31]  R. Ekkelenkamp,et al.  Selective control of a subtask of walking in a robotic gait trainer(LOPES) , 2007, 2007 IEEE 10th International Conference on Rehabilitation Robotics.

[32]  D. Robertson Body Segment Parameters , 2014 .

[33]  Hermano Igo Krebs,et al.  Therapeutic Robotics: A Technology Push , 2006, Proceedings of the IEEE.

[34]  S.K. Agrawal,et al.  Active Leg Exoskeleton (ALEX) for Gait Rehabilitation of Motor-Impaired Patients , 2007, 2007 IEEE 10th International Conference on Rehabilitation Robotics.

[35]  Torunn Askim,et al.  Stroke Patients Do Not Need to be Inactive in the First Two-Weeks after Stroke: Results from a Stroke Unit Focused on Early Rehabilitation , 2012, International journal of stroke : official journal of the International Stroke Society.

[36]  R. Riener,et al.  Using a Robotic Gait Orthosis as Haptic Display - A Perception-Based Optimization Approach , 2007, 2007 IEEE 10th International Conference on Rehabilitation Robotics.

[37]  N. Hogan,et al.  Motions or muscles? Some behavioral factors underlying robotic assistance of motor recovery. , 2006, Journal of rehabilitation research and development.

[38]  Mark Bayley,et al.  Toward a more effective approach to stroke: Canadian Best Practice Recommendations for Stroke Care , 2008, Canadian Medical Association Journal.

[39]  B. Dobkin Strategies for stroke rehabilitation , 2004, The Lancet Neurology.

[40]  R. Riener,et al.  Patient-cooperative strategies for robot-aided treadmill training: first experimental results , 2005, IEEE Transactions on Neural Systems and Rehabilitation Engineering.