Research Topics
| D J ReinkensmeyerSummaryAffiliation: University of California Country: USA Publications
| Collaborators
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Detail Information
Publications
Personalized neuromusculoskeletal modeling to improve treatment of mobility impairments: a perspective from European research sitesBenjamin J Fregly
Department of Mechanical and Aerospace Engineering, University of Florida, 231 MAE A Building, PO Box 116250, Gainesville, FL 32611 6250, USA
J Neuroeng Rehabil 9:18. 2012..We conclude by summarizing recommendations for future research efforts that would allow personalized neuromusculoskeletal models to make the greatest impact possible on treatment design for mobility impairments...
A computational model of use-dependent motor recovery following a stroke: optimizing corticospinal activations via reinforcement learning can explain residual capacity and other strength recovery dynamicsDavid J Reinkensmeyer
Department of Anatomy and Neurobiology, University of California at Irvine, USA
Neural Netw 29:60-9. 2012....- Major trends in mobility technology research and development: overview of the results of the NSF-WTEC European studyDavid J Reinkensmeyer
Department of Mechanical and Aerospace Engineering, University of California, Irvine, CA 92697 3875, USA
J Neuroeng Rehabil 9:22. 2012..This commentary summarizes these trends, which are then described in detail in companion papers appearing in this special issue... - Technologies and combination therapies for enhancing movement training for people with a disabilityDavid J Reinkensmeyer
Department of Mechanical and Aerospace Engineering, University of California, 4200 Engineering Gateway, Irvine, CA 92697 3875, USA
J Neuroeng Rehabil 9:17. 2012..Such combination therapies will likely involve complex interactions with motor training that must be understood in order to achieve the goal of eliminating severe motor impairment... - Human-robot cooperative movement training: learning a novel sensory motor transformation during walking with robotic assistance-as-neededJeremy L Emken
Biomedical Engineering Department, University of California at Irvine, Irvine, CA, USA
J Neuroeng Rehabil 4:8. 2007..These attempts are currently not based on computational models of motor learning... - Effect of visual distraction and auditory feedback on patient effort during robot-assisted movement training after strokeRiccardo Secoli
Biomechatronic Lab, Department of Mechanical Engineering, University of California, 4200 Engineering Gateway, Irvine, CA 92697 3875, USA
J Neuroeng Rehabil 8:21. 2011..To better understand patient slacking, we studied the role of visual distraction and auditory feedback in modulating patient effort during a common robot-assisted tracking task... - Review of control strategies for robotic movement training after neurologic injuryLaura Marchal-Crespo
Department of Mechanical and Aerospace Engineering, University of California, Irvine, CA, USA
J Neuroeng Rehabil 6:20. 2009.... - A robotic wheelchair trainer: design overview and a feasibility studyLaura Marchal-Crespo
Mechanical and Aerospace Engineering Department, University of California, Irvine, CA, USA
J Neuroeng Rehabil 7:40. 2010..Experiencing independent mobility is important for children with a severe movement disability, but learning to drive a powered wheelchair can be labor intensive, requiring hand-over-hand assistance from a skilled therapist... - Can robots help the learning of skilled actions?David J Reinkensmeyer
Department of Mechanical and Aerospace Engineering, University of California at Irvine, Irvine, CA 92697 3975, USA
Exerc Sport Sci Rev 37:43-51. 2009..Recent experiments from our laboratories show how robotic devices can temporarily alter task dynamics in ways that contribute to the motor learning experience, suggesting possible applications in rehabilitation and sports training... 
Robotics, motor learning, and neurologic recoveryDavid J Reinkensmeyer
Department of Mechanical and Aerospace Engineering, University of California, Irvine, California 92697 3975, USA
Annu Rev Biomed Eng 6:497-525. 2004..In addition to providing insight into motor control, robotic paradigms may eventually enhance motor learning and rehabilitation beyond the levels possible with conventional training techniques...- A computational model of human-robot load sharing during robot-assisted arm movement training after strokeDavid J Reinkensmeyer
Department of Mechanical and Aerospace Engineering, University of California at Irvine, CA 92617 3975, USA
Conf Proc IEEE Eng Med Biol Soc 2007:4019-23. 2007..These results provide insight into the computational mechanisms of human motor adaptation during rehabilitation therapy, and provide a framework for optimizing robot-assisted therapy... - Tools for understanding and optimizing robotic gait trainingDavid J Reinkensmeyer
Department of Mechanical and Aerospace Engineering, University of California UC Irvine, Irvine, CA 92697 3975, USA
J Rehabil Res Dev 43:657-70. 2006..Currently, we are developing a pneumatic robot designed to meet these specifications as it assists leg and pelvic motion of people with SCI... - Assessment of active and passive restraint during guided reaching after chronic brain injuryD J Reinkensmeyer
Department of Mechanical and Aerospace Engineering, University of California, Irvine, USA
Ann Biomed Eng 27:805-14. 1999..These results demonstrate the feasibility of mechatronic assessment of the causes of decreased functional movement, and could provide a basis for enhanced treatment planning and monitoring following brain injury... - Slacking by the human motor system: computational models and implications for robotic orthosesDavid J Reinkensmeyer
Department of Mechanical and Aerospace Engineering and Department of Biomedical Engineering, University of California at Irvine, CA 92617, USA
Conf Proc IEEE Eng Med Biol Soc 2009:2129-32. 2009..For assistive applications of robotic orthoses, slacking may allow the motor system to learn to take advantage of force amplification provided by an orthosis, with positive consequences for human energy efficiency... - Web-based telerehabilitation for the upper extremity after strokeDavid J Reinkensmeyer
Department of Mechanical and Aerospace Engineering, Center for Biomedical Engineering, University of California, Irvine 92697 3975, USA
IEEE Trans Neural Syst Rehabil Eng 10:102-8. 2002..Data from home-based usage by a chronic stroke subject are presented that demonstrate the feasibility of using the system to direct a therapy program, mechanically assist in movement, and track improvements in movement ability... - Directional control of reaching is preserved following mild/moderate stroke and stochastically constrained following severe strokeDavid J Reinkensmeyer
Department of Physical Medicine and Rehabilitation, Northwestern University, Chicago, IL 60611, USA
Exp Brain Res 143:525-30. 2002.... - Understanding and treating arm movement impairment after chronic brain injury: progress with the ARM guideD J Reinkensmeyer
Department of Mechanical and Aerospace Engineering, Center for Biomedical Engineering, University of California at Irvine, 92697 3975, USA
J Rehabil Res Dev 37:653-62. 2000..Directions for future research regarding the efficacy and practicality of rehabilitators are discussed... - Mechatronic assessment of arm impairment after chronic brain injuryD J Reinkensmeyer
Department of Mechanical and Aerospace Engineering, University of California, Irvine 92697 3975, USA
Technol Health Care 7:431-5. 1999..These results demonstrate the feasibility of objective assessment of functional movement using a mechatronic device, and could provide the basis for improved, individualized treatment planning and monitoring following brain injury... - Automating arm movement training following severe stroke: functional exercises with quantitative feedback in a gravity-reduced environmentRobert J Sanchez
Department of Mechanical and Aerospace Engienering, University of California, Irvine, CA 92697 3975, USA
IEEE Trans Neural Syst Rehabil Eng 14:378-89. 2006..001). These results demonstrate the feasibility of automating upper-extremity rehabilitation therapy for people with severe stroke using passive gravity assistance, a grip sensor, and simple virtual reality software... - Motor adaptation to a small force field superimposed on a large background forceJiayin Liu
Department of Mechanical and Aerospace Engineering, University of California, Irvine, CA 92697 3975, USA
Exp Brain Res 178:402-14. 2007..Finally, these results suggest that computational models of motor adaptation will likely need to include force-dependent parameters to accurately predict errors... - A randomized controlled trial of gravity-supported, computer-enhanced arm exercise for individuals with severe hemiparesisSarah J Housman
Sensory Motor Performance Program, Rehabilitation Institute of Chicago, Chicago, Illinois 60660, USA
Neurorehabil Neural Repair 23:505-14. 2009..The purpose of this study was to compare semiautonomous training with T-WREX and conventional semiautonomous exercises that used a tabletop for gravity support... - Do robotic and non-robotic arm movement training drive motor recovery after stroke by a common neural mechanism? Experimental evidence and a computational modelDavid J Reinkensmeyer
Department of Mechanical and Aerospace Engineering, University of California, Irvine, CA 92697, USA
Conf Proc IEEE Eng Med Biol Soc 2009:2439-41. 2009..Robot-assisted and unassisted training would in theory equally drive this search process... - Persistence of motor adaptation during constrained, multi-joint, arm movementsR A Scheidt
Department of Biomedical Engineering, Northwestern University, Evanston, IL 60622, USA
J Neurophysiol 84:853-62. 2000.... - Robot-assisted hindlimb extension increases the probability of swing initiation during treadmill walking by spinal cord contused ratsJeff A Nessler
Department of Mechanical and Aerospace Engineering, Center for Biomedical Engineering, 4200 Engineering Gateway E3225, University of California, Irvine, CA 92697 3975, USA
J Neurosci Methods 159:66-77. 2007..These results indicate that a greater amount of stepping activity can be elicited by robot-assisted extension, thereby providing possible benefits to evaluation and training of gait following SCI... - Retraining the injured spinal cordV R Edgerton
Brain Research Institute and Departments of Physiological Science and Neurobiology, University of California, Los Angeles, CA 90095, USA
J Physiol 533:15-22. 2001..These concepts and observations demonstrate that (a) the spinal cord can interpret complex afferent information and generate the appropriate motor task; and (b) motor ability can be defined to a large degree by training... - The rat lumbosacral spinal cord adapts to robotic loading applied during stanceW K Timoszyk
Department of Mechanical and Aerospace Engineering and Center for Biomedical Engineering, University of California, Irvine, 92697-3975, California, USA
J Neurophysiol 88:3108-17. 2002.... - Control of a pneumatic orthosis for upper extremity stroke rehabilitationEric T Wolbrecht
Mech and Aerosp Eng Dept, Univ California, Irvine, CA 92697, USA
Conf Proc IEEE Eng Med Biol Soc 1:2687-93. 2006..Thus, the orthosis is a promising tool for upper extremity rehabilitation after stroke... - Impedance control and internal model formation when reaching in a randomly varying dynamical environmentC D Takahashi
Department of Mechanical and Aerospace Engineering and Center for Biomedical Engineering, University of California, Irvine 92697-3975, USA
J Neurophysiol 86:1047-51. 2001.... - Dynamic motion planning for the design of robotic gait rehabilitationChia-Yu E Wang
Department of Mechanical and Aerospace Engineering, University of California, Irvine, California 92697, USA
J Biomech Eng 127:672-9. 2005..The resulting motions can be found at the web site http://ww.eng.uci.edu/-chwang/project/stepper/stepper.html... - Robot-assisted movement training for the stroke-impaired arm: Does it matter what the robot does?Leonard E Kahn
Sensory Motor Performance Program, Rehabilitation Institute of Chicago, Chicago, IL, USA
J Rehabil Res Dev 43:619-30. 2006..We describe the engineering implementation of this "guided-force training" algorithm... - Hemiparetic stroke impairs anticipatory control of arm movementCraig D Takahashi
Department of Mechanical and Aerospace Engineering, University of California, 4200 Engineering Gateway, Irvine, CA 92697-3975, USA
Exp Brain Res 149:131-40. 2003..Finding ways to fully restore this adaptive ability, or to make use of what adaptive ability remains during rehabilitation, is an important goal for improving functional motor recovery... - The effect of haptic guidance, aging, and initial skill level on motor learning of a steering taskLaura Marchal-Crespo
Department of Mechanical and Aerospace Engineering, Henry Samueli School of Engineering, 4200 Engineering Gateway Building, Irvine, CA 92697 3975, USA
Exp Brain Res 201:209-20. 2010..This study demonstrates that training with haptic guidance can benefit long-term retention of a driving skill for young and for some old drivers. Training with haptic guidance is more useful for people with less initial skill... - Comparison of error-amplification and haptic-guidance training techniques for learning of a timing-based motor task by healthy individualsMarie Hélène Milot
Department of Mechanical and Aerospace Engineering, University of California, Irvine, 4200 Engineering Gateway, Irvine, CA 92697, USA
Exp Brain Res 201:119-31. 2010..These results suggest that both techniques help enhanced performance of a timing task, but learning is optimized if training subjects with the appropriate technique based on their baseline skill level... - Modeling reaching impairment after stroke using a population vector model of movement control that incorporates neural firing-rate variabilityDavid J Reinkensmeyer
Department of Mechanical and Aerospace Engineering and Center for Biomedical Engineering, University of California at Irvine, Irvine, CA 92697, USA
Neural Comput 15:2619-42. 2003.... - Haptic guidance can enhance motor learning of a steering taskLaura Marchal Crespo
Department of Mechanical and Aerospace Engineering, University of California Irvine, CA 92697, USA
J Mot Behav 40:545-56. 2008..However, this difference quickly dissipated with more practice. We conclude that haptic guidance can benefit short-term learning of a steering-type task while also limiting performance errors during training... - Feasibility of manual teach-and-replay and continuous impedance shaping for robotic locomotor training following spinal cord injuryJeremy L Emken
Biomedical Engineering Department, University of California, Irvine, CA 92797, USA
IEEE Trans Biomed Eng 55:322-34. 2008..The result was that the subjects stepped with greater variability, while still maintaining a physiologic gait pattern. These results are further steps toward tailoring robotic gait training to the needs of individual patients... - Robotic gait analysis of bipedal treadmill stepping by spinal contused rats: characterization of intrinsic recovery and comparison with BBBJeff A Nessler
Department of Mechanical and Aerospace Engineering, University of California, Irvine, California 92697-3975, USA
J Neurotrauma 23:882-96. 2006..Thus, by measuring only a few weight-supported steps with motion capture, a sensitive, valid measure of locomotor recovery following contusion injury can be obtained across a broad range of impairment levels... - Quantification of therapists' manual assistance on the leg during treadmill gait training with partial body-weight support after spinal cord injuryJose A Galvez
Department of Mechanical and Aerospace Engineering, University of California, Irvine, CA, USA
Conf Proc IEEE Eng Med Biol Soc 2007:4028-32. 2007..These results provide insight into therapist-assisted gait training, which may be useful for optimizing robotic gait-training devices... - Robot-enhanced motor learning: accelerating internal model formation during locomotion by transient dynamic amplificationJeremy L Emken
Biomedical Engineering Department, University of California Irvine, Irvine, CA 92697, USA
IEEE Trans Neural Syst Rehabil Eng 13:33-9. 2005..These results support an approach to movement training devices that amplify rather than reduce movement errors, and provide a computational framework for both implementing the approach and understanding its limitations... - Spinal cord-transected mice learn to step in response to quipazine treatment and robotic trainingAndy J Fong
Biomedical Engineering Interdepartmental Program, University of California, Los Angeles, California 90095, USA
J Neurosci 25:11738-47. 2005..When administered intermittently during an extended period of robotic training, quipazine revealed training-induced stepping improvements that were masked in the absence of the pharmacological treatment... - Effect of muscle fatigue on internal model formation and retention during reaching with the armCraig D Takahashi
Dept. of Mechanical and Aerospace Engineering, 4200 Engineering Gateway, Univ. of California, Irvine, CA 92697-3975, USA
J Appl Physiol 100:695-706. 2006..Recovery from fatigue apparently affects recall because the motor system represents internal models as a mapping between effort and movement and relies on practice to recalibrate this mapping... - Hindlimb loading determines stepping quantity and quality following spinal cord transectionWojciech K Timoszyk
Department of Mechanical and Aerospace Engineering, 4200 Engineering Gateway (EG3225, University of California, Irvine, CA 92697-3975, USA
Brain Res 1050:180-9. 2005..Finally, load-bearing failure point can be a quantitative measure of locomotor recovery following spinal cord injury, especially for severely impaired animals that cannot step unassisted... - Neuromotor noise limits motor performance, but not motor adaptation, in childrenCraig D Takahashi
Department of Mechanical and Aerospace Engineering and Center for Biomedical Engineering, University of California, Irvine 92697-3975, USA
J Neurophysiol 90:703-11. 2003.... - Alterations in reaching after stroke and their relation to movement direction and impairment severityDerek G Kamper
Sensory Motor Performance Program, Rehabilitation Institute of Chicago, Chicago, IL 60611, USA
Arch Phys Med Rehabil 83:702-7. 2002.... - Motor adaptation as a greedy optimization of error and effortJeremy L Emken
Mechanical and Aerospace Engineering Department, University of California, Irvine, California 92697 3975, USA
J Neurophysiol 97:3997-4006. 2007..We found however that the equation adequately captured the pattern of errors and thus conclude that motor adaptation to a force field can be approximated as an optimization of effort and error for a range of experimental conditions... - Robotic assistance for upper extremity training after strokeDavid J Reinkensmeyer
Department of Mechanical and Aerospace Engineering, University of California at Irvine, CA, USA
Stud Health Technol Inform 145:25-39. 2009..Future advances in the field will likely be driven by scientific studies focused on defining the behavioral factors that influence motor plasticity... - A robotic device for studying rodent locomotion after spinal cord injuryJeff A Nessler
Rehabilitation Institute of Chicago, IL 60610, USA
IEEE Trans Neural Syst Rehabil Eng 13:497-506. 2005..This paper provides a detailed description of the device design and a characterization of its robotic performance capabilities... - Use of robotics in assessing the adaptive capacity of the rat lumbar spinal cordRay D de Leon
Department of Kinesiology and Nutritional Science, California State University, Los Angeles, CA 90032-8162, USA
Prog Brain Res 137:141-9. 2002.... - Using robotics to teach the spinal cord to walkRay D de Leon
Department of Kinesiology and Nutritional Science, California State University, 5151 State University Drive, Los Angeles, CA 90032, USA
Brain Res Brain Res Rev 40:267-73. 2002..These results suggest that critical elements for successful training of hindlimb stepping in spinal cord injured rats can be implemented rigorously and evaluated using the rat stepper... - Locomotor ability in spinal rats is dependent on the amount of activity imposed on the hindlimbs during treadmill trainingJohn Cha
Department of Biological Science, California State University, Los Angeles, California 90032 8162, USA
J Neurotrauma 24:1000-12. 2007.... - A robot and control algorithm that can synchronously assist in naturalistic motion during body-weight-supported gait training following neurologic injuryDaisuke Aoyagi
Los Amigos Research and Education Institute, Downey, CA 90242, USA
IEEE Trans Neural Syst Rehabil Eng 15:387-400. 2007.... - Optimizing compliant, model-based robotic assistance to promote neurorehabilitationEric T Wolbrecht
Mechanical Engineering Department, University of Idaho, Moscow, ID 83844, USA
IEEE Trans Neural Syst Rehabil Eng 16:286-97. 2008..The experiments also demonstrate how including the "assist-as-needed" modification in the controller increases participation from the motor system...