Socially assistive robotics for stroke and mild TBI rehabilitation.

This paper describes an interdisciplinary research project aimed at developing and evaluating effective and user-friendly non-contact robot-assisted therapy, aimed at in-home use. The approach stems from the emerging field of social cognitive neuroscience that seeks to understand phenomena in terms of interactions between the social, cognitive, and neural levels of analysis. This technology-assisted therapy is designed to be safe and affordable, and relies on novel human-robot interaction methods for accelerated recovery of upper-extremity function after lesion-induced hemiparesis. The work is based on the combined expertise in the science and technology of non-contact socially assistive robotics and the clinical science of neurorehabilitation and motor learning, brought together to study how to best enhance recovery after stroke and mild traumatic brain injury. Our approach is original and promising in that it combines several ingredients that individually have been shown to be important for learning and long-term efficacy in motor neurorehabilitation: (1) intensity of task specific training and (2) engagement and self-management of goal-directed actions. These principles motivate and guide the strategies used to develop novel user activity sensing and provide the rationale for development of socially assistive robotics therapy for monitoring and coaching users toward personalized and optimal rehabilitation programs.

[1]  G. G. Stokes.  "J." , 1890, The New Yale Book of Quotations.

[2]  H. Eysenck.  Dimensions of Personality , 1947 .

[3]  E. Hall,et al.  The Hidden Dimension , 1970 .

[4]  A. Bandura.  Principles of behavior modification , 1969 .

[5]  Miss A.O. Penney.  (b) , 1974, The New Yale Book of Quotations.

[6]  Roberta B. Shepherd,et al.  A Motor Learning Model for Stroke Rehabilitation , 1989 .

[7]  T. Olsen,et al.  Arm and leg paresis as outcome predictors in stroke rehabilitation. , 1990, Stroke.

[8]  H. Eysenck.  Dimensions of personality : 16, 5 or 3? ― Criteria for a taxonomic paradigm , 1991 .

[9]  Umberto Castiello,et al.  Insights into the reach to grasp movement , 1994 .

[10]  S. Kilbreath,et al.  Task-specific training of reaching and manipulation , 1994 .

[11]  E. Roth,et al.  The American Heart Association Stroke Outcome Classification. , 1998, Stroke.

[12]  J. H. van der Lee,et al.  Forced use of the upper extremity in chronic stroke patients: results from a single-blind randomized clinical trial. , 1999, Stroke.

[13]  K A Dunn,et al.  Traumatic brain injury in the United States: A public health perspective. , 1999, The Journal of head trauma rehabilitation.

[14]  Else Smits-Boone,et al.  Hand Recovery After Stroke: Exercises and Results Measurements , 2000 .

[15]  H. F. Machiel van der Loos,et al.  Development of robots for rehabilitation therapy: the Palo Alto VA/Stanford experience. , 2000, Journal of rehabilitation research and development.

[16]  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.

[17]  R. Nudo,et al.  Role of adaptive plasticity in recovery of function after damage to motor cortex , 2001, Muscle & nerve.

[18]  C. Nass,et al.  Does computer-synthesized speech manifest personality? Experimental tests of recognition, similarity-attraction, and consistency-attraction. , 2001, Journal of experimental psychology. Applied.

[19]  C. Nass,et al.  Does computer-synthesized speech manifest personality? Experimental tests of recognition, similarity-attraction, and consistency-attraction. , 2001 .

[20]  B. Rosen,et al.  Motor Recovery and Cortical Reorganization after Constraint-Induced Movement Therapy in Stroke Patients: A Preliminary Study , 2002, Neurorehabilitation and neural repair.

[21]  Roberta L. Klatzky,et al.  Feedback distortion to overcome learned nonuse: a system overview , 2003, Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439).

[22]  E. Taub,et al.  Improved motor recovery after stroke and massive cortical reorganization following Constraint-Induced Movement therapy. , 2003, Physical medicine and rehabilitation clinics of North America.

[23]  Cordula Werner,et al.  Poststroke Motor Dysfunction and Spasticity , 2003, CNS drugs.

[24]  Hiroshi Nakajima,et al.  The functionality of human-machine collaboration systems - mind model and social behavior , 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

[25]  S. Hesse,et al.  Robot-assisted arm trainer for the passive and active practice of bilateral forearm and wrist movements in hemiparetic subjects. , 2003, Archives of physical medicine and rehabilitation.

[26]  C. Richards,et al.  Arm and leg impairments and disabilities after stroke rehabilitation: relation to handicap , 2003, Clinical rehabilitation.

[27]  Richard T. Vaughan,et al.  The Player/Stage Project: Tools for Multi-Robot and Distributed Sensor Systems , 2003 .

[28]  R. Teasell.  Stroke recovery and rehabilitation. , 2003, Stroke.

[29]  Birgitta Lindmark,et al.  Self-efficacy in relation to impairments and activities of daily living disability in elderly patients with stroke: a prospective investigation. , 2003, Journal of rehabilitation medicine.

[30]  C. Winstein,et al.  A randomized controlled comparison of upper-extremity rehabilitation strategies in acute stroke: A pilot study of immediate and long-term outcomes. , 2004, Archives of physical medicine and rehabilitation.

[31]  Joseph P Broderick,et al.  William M. Feinberg Lecture: stroke therapy in the year 2025: burden, breakthroughs, and barriers to progress. , 2003, Stroke.

[32]  Recovery of walking late after a severe traumatic brain injury , 2004 .

[33]  M.J. Mataric,et al.  Hands-off assistive robotics for post-stroke arm rehabilitation , 2005, 9th International Conference on Rehabilitation Robotics, 2005. ICORR 2005..

[34]  D. Feil-Seifer,et al.  Defining socially assistive robotics , 2005, 9th International Conference on Rehabilitation Robotics, 2005. ICORR 2005..

[35]  Maja J. Matarić,et al.  Towards Socially Assistive Robotics , 2006 .

[36]  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.

[37]  Maja J Matarić,et al.  Socially Assistive Robotics for Post-stroke Rehabilitation Journal of Neuroengineering and Rehabilitation Socially Assistive Robotics for Post-stroke Rehabilitation , 2007 .

[38]  Adriana Tapus,et al.  User Personality Matching with a Hands-Off Robot for Post-stroke Rehabilitation Therapy , 2006, ISER.

[39]  Maja J. Matarić,et al.  Towards Active Learning for Socially Assistive Robots , 2007, NIPS 2007.

[40]  Adriana Tapus,et al.  User—robot personality matching and assistive robot behavior adaptation for post-stroke rehabilitation therapy , 2008, Intell. Serv. Robotics.

[41]  J. Gordon,et al.  The effect of exercise training in improving motor performance and corticomotor excitability in people with early Parkinson's disease. , 2008, Archives of physical medicine and rehabilitation.

[42]  Paul A Thompson,et al.  Retention of upper limb function in stroke survivors who have received constraint-induced movement therapy: the EXCITE randomised trial , 2008, The Lancet Neurology.

[43]  Comprar Stroke Recovery and Rehabilitation | Carolee Winstein | 9781933864129 | Demos Medical Publishing , 2009 .