David Reinkensmeyer
David Reinkensmeyer
Professor, Engineering and Neuroscience, University of California at Irvine
Verified email at uci.edu
TitleCited byYear
Review of control strategies for robotic movement training after neurologic injury
L Marchal-Crespo, DJ Reinkensmeyer
Journal of neuroengineering and rehabilitation 6 (1), 20, 2009
Understanding and treating arm movement impairment after chronic brain injury: progress with the ARM guide.
DJ Reinkensmeyer, LE Kahn, M Averbuch, A McKenna-Cole, BD Schmit, ...
Robotics, motor learning, and neurologic recovery
DJ Reinkensmeyer, JL Emken, SC Cramer
Annu. Rev. Biomed. Eng. 6, 497-525, 2004
Optimizing compliant, model-based robotic assistance to promote neurorehabilitation
ET Wolbrecht, V Chan, DJ Reinkensmeyer, JE Bobrow
IEEE Transactions on Neural Systems and Rehabilitation Engineering 16 (3 …, 2008
Robot-assisted reaching exercise promotes arm movement recovery in chronic hemiparetic stroke: a randomized controlled pilot study
LE Kahn, ML Zygman, WZ Rymer, DJ Reinkensmeyer
Journal of NeuroEngineering and Rehabilitation 3, 12, 2006
Retraining the injured spinal cord
VR Edgerton, RD de Leon, SJ Harkema, JA Hodgson, N London, ...
The Journal of physiology 533 (1), 15-22, 2001
Persistence of motor adaptation during constrained, multi-joint, arm movements
RA Scheidt, DJ Reinkensmeyer, MA Conditt, WZ Rymer, FA Mussa-Ivaldi
Journal of neurophysiology 84 (2), 853-862, 2000
Automating arm movement training following severe stroke: functional exercises with quantitative feedback in a gravity-reduced environment
RJ Sanchez, J Liu, S Rao, P Shah, R Smith, T Rahman, SC Cramer, ...
IEEE Transactions on neural systems and rehabilitation engineering 14 (3 …, 2006
A randomized controlled trial of gravity-supported, computer-enhanced arm exercise for individuals with severe hemiparesis
SJ Housman, KM Scott, DJ Reinkensmeyer
Neurorehabilitation and neural repair 23 (5), 505-514, 2009
Web-based telerehabilitation for the upper extremity after stroke
DJ Reinkensmeyer, CT Pang, JA Nessler, CC Painter
IEEE transactions on neural systems and rehabilitation engineering 10 (2 …, 2002
Robot-enhanced motor learning: accelerating internal model formation during locomotion by transient dynamic amplification
JL Emken, DJ Reinkensmeyer
IEEE Transactions on Neural Systems and Rehabilitation Engineering 13 (1), 33-39, 2005
Human-robot cooperative movement training: learning a novel sensory motor transformation during walking with robotic assistance-as-needed
JL Emken, R Benitez, DJ Reinkensmeyer
Journal of neuroengineering and rehabilitation 4 (1), 8, 2007
Standard handbook of biomedical engineering and design
M Kutz
McGraw-Hill, 2003
Robot-assisted movement training for the stroke-impaired arm: Does it matter what the robot does?
LE Kahn, PS Lum, WZ Rymer, DJ Reinkensmeyer
A robot and control algorithm that can synchronously assist in naturalistic motion during body-weight-supported gait training following neurologic injury
D Aoyagi, WE Ichinose, SJ Harkema, DJ Reinkensmeyer, JE Bobrow
IEEE Transactions on Neural Systems and Rehabilitation Engineering 15 (3 …, 2007
Robotic devices for movement therapy after stroke: current status and challenges to clinical acceptance
P Lum, D Reinkensmeyer, R Mahoney, WZ Rymer, C Burgar
Topics in stroke rehabilitation 8 (4), 40-53, 2002
Alterations in reaching after stroke and their relation to movement direction and impairment severity
DG Kamper, AN McKenna-Cole, LE Kahn, DJ Reinkensmeyer
Archives of physical medicine and rehabilitation 83 (5), 702-707, 2002
Motor adaptation as a greedy optimization of error and effort
JL Emken, R Benitez, A Sideris, JE Bobrow, DJ Reinkensmeyer
Journal of neurophysiology 97 (6), 3997-4006, 2007
Impedance control and internal model formation when reaching in a randomly varying dynamical environment
CD Takahashi, RA Scheidt, DJ Reinkensmeyer
Journal of neurophysiology 86 (2), 1047-1051, 2001
Tools for understanding and optimizing robotic gait training.
DJ Reinkensmeyer, D Aoyagi, JL Emken, JA Galvez, W Ichinose, ...
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