Robot therapy of the upper limb in stroke patients: preliminary experiences for the principle-based use of this technology.

Robotic systems for neuromotor rehabilitation have been a part of clinical practice for more than a decade but the efficacy of this new technology is still debated. One reason for this, in our opinion, is that there is still no consensus on the most important features of these systems, or on the underlying theoretical basis, essential for the rational design of treatment protocols. The aim of this paper, born of our long experience in the study of the neural control of movement and the use of robots for characterizing motor control mechanisms, is to make a small contribution to clarifying this issue. What is needed in the future is a "research pipeline" encompassing experimentally validated models of neural control of movement, models of motor learning, models of functional recovery, and finally principle-based robot therapy control strategies. We believe this is a necessary prerequisite for carrying out well formulated comparisons of different control strategies as well as mixed strategies of robot/human treatment, in the framework of randomised, controlled clinical trials.

[1]  K. Heilman,et al.  Phantom limb after stroke: An underreported phenomenon , 2010, Cortex.

[2]  P. Morasso,et al.  Bilateral robot therapy based on haptics and reinforcement learning: Feasibility study of a new concept for treatment of patients after stroke. , 2009, Journal of rehabilitation medicine.

[3]  Simon Mathews,et al.  On the equivalence of executed and imagined movements: Evidence from lateralized motor and nonmotor potentials , 2009, Human brain mapping.

[4]  D. Wade.  Control in rehabilitation research , 2009, Clinical rehabilitation.

[5]  V. Pomeroy,et al.  A treatment schedule of conventional physical therapy provided to enhance upper limb sensorimotor recovery after stroke: expert criterion validity and intra-rater reliability. , 2009, Physiotherapy.

[6]  K. Zentgraf,et al.  Cognitive motor processes: The role of motor imagery in the study of motor representations , 2009, Brain Research Reviews.

[7]  Maura Casadio,et al.  A proof of concept study for the integration of robot therapy with physiotherapy in the treatment of stroke patients , 2009, Clinical rehabilitation.

[8]  L Masia,et al.  The impact of robotic rehabilitation in children with acquired or congenital movement disorders. , 2009, European journal of physical and rehabilitation medicine.

[9]  B. Dobkin,et al.  The Future of Restorative Neurosciences in Stroke: Driving the Translational Research Pipeline From Basic Science to Rehabilitation of People After Stroke , 2009, Neurorehabilitation and Neural Repair.

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

[11]  Maura Casadio,et al.  Minimally assistive robot training for proprioception enhancement , 2009, Experimental Brain Research.

[12]  Hermano Igo Krebs,et al.  Upper Limb Robotic Therapy for Children with Hemiplegia , 2008, American journal of physical medicine & rehabilitation.

[13]  T. Platz,et al.  Electromechanical and robot-assisted arm training for improving arm function and activities of daily living after stroke. , 2008, The Cochrane database of systematic reviews.

[14]  Carlo Caltagirone,et al.  Telecommunications technology in cognitive rehabilitation. , 2008, Functional neurology.

[15]  H. Krebs,et al.  Mechanical Arm Trainer for the Treatment of the Severely Affected Arm After a Stroke: A Single-Blinded Randomized Trial in Two Centers , 2008, American journal of physical medicine & rehabilitation.

[16]  D.J. Reinkensmeyer,et al.  Optimizing Compliant, Model-Based Robotic Assistance to Promote Neurorehabilitation , 2008, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[17]  P. Dario,et al.  Assessing Mechanisms of Recovery During Robot-Aided Neurorehabilitation of the Upper Limb , 2008, Neurorehabilitation and neural repair.

[18]  H.I. Krebs,et al.  Robot-Aided Neurorehabilitation: A Robot for Wrist Rehabilitation , 2007, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[19]  H.I. Krebs,et al.  Design and Characterization of Hand Module for Whole-Arm Rehabilitation Following Stroke , 2007, IEEE/ASME Transactions on Mechatronics.

[20]  R. Nudo.  Postinfarct Cortical Plasticity and Behavioral Recovery , 2007, Stroke.

[21]  R. Nudo.  Mechanisms for recovery of motor function following cortical damage , 2006, Current Opinion in Neurobiology.

[22]  J. P. Miller,et al.  Effect of constraint-induced movement therapy on upper extremity function 3 to 9 months after stroke: the EXCITE randomized clinical trial. , 2006, JAMA.

[23]  E. Taub,et al.  The learned nonuse phenomenon: implications for rehabilitation. , 2006, Europa medicophysica.

[24]  J. Mehrholz,et al.  Computerized Arm Training Improves the Motor Control of the Severely Affected Arm After Stroke: A Single-Blinded Randomized Trial in Two Centers , 2005, Stroke.

[25]  L W Forrester,et al.  Task-Oriented Aerobic Exercise in Chronic Hemiparetic Stroke: Training Protocols and Treatment Effects , 2005, Topics in stroke rehabilitation.

[26]  J. Patton,et al.  Evaluation of robotic training forces that either enhance or reduce error in chronic hemiparetic stroke survivors , 2005, Experimental Brain Research.

[27]  C.G. Burgar,et al.  Evidence for improved muscle activation patterns after retraining of reaching movements with the MIME robotic system in subjects with post-stroke hemiparesis , 2004, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[28]  W. T. Thach,et al.  How do strength, sensation, spasticity and joint individuation relate to the reaching deficits of people with chronic hemiparesis? , 2004, Brain : a journal of neurology.

[29]  M. Levin,et al.  Compensation for distal impairments of grasping in adults with hemiparesis , 2004, Experimental Brain Research.

[30]  R. Dickstein,et al.  Anticipatory postural adjustment in selected trunk muscles in post stroke hemiparetic patients. , 2004, Archives of physical medicine and rehabilitation.

[31]  M. Morris,et al.  Outcomes of progressive resistance strength training following stroke: a systematic review , 2004, Clinical rehabilitation.

[32]  P. Morasso,et al.  Kinematic networks , 1988, Biological Cybernetics.

[33]  C. Braun,et al.  Motor learning elicited by voluntary drive. , 2003, Brain : a journal of neurology.

[34]  M. MacKay-Lyons,et al.  Exercise capacity early after stroke. , 2002, Archives of physical medicine and rehabilitation.

[35]  S. Sahrmann,et al.  Preservation of directly stimulated muscle strength in hemiplegia due to stroke. , 2002, Archives of neurology.

[36]  M. Latash,et al.  Task-specific modulation of anticipatory postural adjustments in individuals with hemiparesis , 2002, Clinical Neurophysiology.

[37]  Agnès Roby-Brami,et al.  Use of the trunk for reaching targets placed within and beyond the reach in adult hemiparesis , 2002, Experimental Brain Research.

[38]  M. Levin,et al.  Effect of Trunk Restraint on the Recovery of Reaching Movements in Hemiparetic Patients , 2001, Stroke.

[39]  R A Scheidt,et al.  Learning to move amid uncertainty. , 2001, Journal of neurophysiology.

[40]  M. Jeannerod.  Neural Simulation of Action: A Unifying Mechanism for Motor Cognition , 2001, NeuroImage.

[41]  Reza Shadmehr,et al.  Learning of action through adaptive combination of motor primitives , 2000, Nature.

[42]  M. Levin,et al.  Compensatory strategies for reaching in stroke. , 2000, Brain : a journal of neurology.

[43]  M. Erb,et al.  Activation of Cortical and Cerebellar Motor Areas during Executed and Imagined Hand Movements: An fMRI Study , 1999, Journal of Cognitive Neuroscience.

[44]  S A Kautz,et al.  Relationships between timing of muscle excitation and impaired motor performance during cyclical lower extremity movement in post-stroke hemiplegia. , 1998, Brain : a journal of neurology.

[45]  Pietro G. Morasso,et al.  A computational theory of targeting movements based on force fields and topology representing networks , 1997, Neurocomputing.

[46]  N. Hogan,et al.  The effect of robot-assisted therapy and rehabilitative training on motor recovery following stroke. , 1997, Archives of neurology.

[47]  D. Crammond.  Motor imagery: never in your wildest dream , 1997, Trends in Neurosciences.

[48]  M. Mayston,et al.  Electrical and mechanical output of the knee muscles during isometric and isokinetic activity in stroke and healthy adults. , 1996, Disability and rehabilitation.

[49]  Richard W. Bohannon.  Recovery and correlates of trunk muscle strength after stroke , 1995, International journal of rehabilitation research. Internationale Zeitschrift fur Rehabilitationsforschung. Revue internationale de recherches de readaptation.

[50]  F A Mussa-Ivaldi,et al.  Adaptive representation of dynamics during learning of a motor task , 1994, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[51]  J. Chandler,et al.  Mode and speed specificity of eccentric and concentric exercise training. , 1989, The Journal of orthopaedic and sports physical therapy.

[52]  O. Steward.  Reorganization of neuronal connections following CNS trauma: principles and experimental paradigms. , 1989, Journal of neurotrauma.

[53]  E. Bizzi,et al.  Mechanisms underlying achievement of final head position. , 1976, Journal of neurophysiology.

[54]  R. Schmidt.  A schema theory of discrete motor skill learning. , 1975 .