David Reinkensmeyer

Picture of David Reinkensmeyer
Professor, Mechanical & Aerospace Engineering
The Henry Samueli School of Engineering
Professor, Anatomy & Neurobiology
School of Medicine
Professor, Biomedical Engineering
B.S., Massachusetts Institute of Technology, 1988, Electrical Engineering
M.S., University of California, Berkeley, 1991, Electrical Engineering
Ph.D., University of California, Berkeley, 1993, Electrical Engineering
Postdoctorate, Rehabilitation Institute of Chicago, 1998, Rehabilitation Robotics
Phone: (949) 824-5218
Fax: (949) 824-8585
Email: dreinken@uci.edu
University of California, Irvine
3225 Engineering Gateway
Mail Code: 3975
Irvine, CA 92697
Research Interests
Movement control, neurorehabilitation, and robotics
Academic Distinctions
David Reinkensmeyer is Professor in the Departments of Mechanical and Aerospace Engineering, Anatomy and Neurobiology, Biomedical Engineering, and Physical Medicine and Rehabilitation at the University of California at Irvine. He received the B.S. degree in electrical engineering from the Massachusetts Institute of Technology and the M.S. and Ph.D. degrees in electrical engineering from the University of California at Berkeley, studying robotics and the neuroscience of human movement. He carried out postdoctoral studies at the Rehabilitation Institute of Chicago and Northwestern University Medical School, building one of the first robotic devices for rehabilitation therapy after stroke. He became an assistant professor at U.C. Irvine in 1997, establishing a research program that develops robotic and sensor-based systems for movement training and assessment following neurologic injuries and disease. He is a co-inventor of the T-WREX arm training exoskeleton, commercialized by Hocoma A.G. as ArmeoSpring and now in use in over 1000 rehabilitation facilities worldwide for people with stroke, spinal cord injury, multiple sclerosis, cerebral palsy and orthopedic injuries. He is also co-inventor of the MusicGlove hand training device, now being commercialized by Flint Rehabilitation Devices. He is co-director of the NIDILRR COMET Robotic Rehabilitation Engineering Center, co-director of the NIH K12 Engineering Career Development Center in Movement and Rehabilitation Sciences, and Editor-in-Chief of the Journal of Neuroengineering and Rehabilitation, which was ranked by Scopus as first among 111 journals in the subfield of Rehabilitation Medicine. He received the Innovator of the Year Award from the Henry Samueli School of Engineering and the Distinguished Midcareer Faculty Research Award from UC Irvine. He is a fellow of the AIMBE.
Research Abstract
Dr. Reinkensmeyer’s interests are in robotics and wearable sensors for neurorehabilitation, and computational neuroscience for movement control. His research group designs technologies for movement rehabilitation after neurologic injury based on an understanding of neuromuscular plasticity mechanisms. Developing improved technology for rehabilitation movement training after neurologic injury not only helps people improve their movement recovery, but also enhances scientific understanding of use-dependent plasticity. Such technology, along with computational models will play an essential role in assessing and enhancing forthcoming neuro-repair therapies.
Available Technologies
Ingemanson M, Rowe J, Chan V, Wolbrecht ET, Reinkensmeyer DJ, Cramer SC (2019) Somatosensory system integrity explains differences in treatment response after stroke, Neurology, 92(10):e1098-e1108

Smith BW, Bueno DR, Zondervan DK, Montano L, Reinkensmeyer DJ (2019) Bimanual wheelchair propulsion by people with severe hemiparesis after stroke, Disability and Rehabilitation: Assistive Technology, Jun 28:1-14.

Ingemanson M, Rowe J, Riley V, Wolbrecht ET, Reinkensmeyer DJ, Cramer SC (2019) Neural correlates of passive position finger sense after stroke, Neurorehabilitation and Neural Repair, 33(9):740-750

Cecchi NJ, Oros TJ, Monroe DC, Fote GM, Moscoso WX, Hicks JW, Reinkensmeyer DJ (2019) The effectiveness of protective headgear in attenuating ball-to-head impacts in water polo. Frontiers in Sports and Active Living, section Sports Science, Technology and Engineering

Lobo-Prat J, Dong Y, Moreso G, Lew C, Sharifrazi N, Radom-Aizik S, Reinkensmeyer DJ (2019) Development and evaluation of MOVit: An exercise-enabling interface for driving a powered wheelchair, IEEE Trans Neural Syst Rehabil Eng. 2019 27(9):1770-1779

Senesh M, Reinkensmeyer DJ (2019) Breaking proportional recovery after stroke, Neurorehabilitation and Neural Repair. 2019 33(11):888-901.

Reinkensmeyer DJ (2019) JNER at 15 Years: Analysis of the state of neuroengineering and rehabilitation, Journal of Neuroengineering and Rehabilitation 16.144

Jones M, Collier G, Reinkensmeyer D, DeRuyter F, Dzivak J, Zondervan D, Morris J (2020) Big Data analytics and sensor-enhanced activity management to improve effectiveness and efficiency of outpatient medical rehabilitation, Int J Environ Res Public Health.17(3)

Sanders Q, Chan V, Augsburger R, Cramer SC, Reinkensmeyer DJ, Do AH (2020) Feasibility of wearable sensing for in-home finger rehabilitation early after stroke, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28:6,1363-1372

McFarland DJ, Norman SL, Sarnacki WA, Wolbrecht ET, Reinkensmeyer DJ, Wolpaw JR (2020) BCI-based sensorimotor rhythm training can affect individuated finger movements, Brain-Computer Interfaces

Senesh M, Barrigan K, Reinkensmeyer DJ (2020) Rudimentary dexterity corresponds with reduced ability to move in-synergy after stroke: Evidence of competition between cortico-reticulospinal and corticospinal tracts? Neurorehabilitation and Neural Repair, Oct;34(10):904-914

Smith BW, Lobo-Prat J, Zondervan DK, Lew C, Chan V, Chou C, Peters E, Toledo S, Reinkensmeyer DJ, Shaw S, Cramer SC (2020) Using a bimanual lever-drive wheelchair for arm movement practice early after stroke: a randomized controlled trial, provisionally accepted, Clinical Rehabilitation

Cecchi NJ, Monroe DC, Moscoso WX, Hicks JW, Reinkensmeyer DJ (2020) Effects of soccer ball inflation pressure and velocity on peak linear and rotational accelerations of ball-to-head impacts, provisionally accepted, Sports Engineering, 23.16

Lobo-Prat J, Enkaoua A, Rodriguez-Fernandez A, Sharifrazi N, Medina-Cantillo J, Font-Llagunes JM, Torras C, Reinkensmeyer DJ (2020) Evaluation of an exercise-enabling control interface for powered wheelchairs users: a feasibility study with Duchenne muscular dystrophy, Journal of Neuroengineering and Rehabilitation 17:142

Wu L, Zhu E, Callaghan C, Irwin D, Reinsdorf D, Swanson V, Zwirn A, Reinkensmeyer D (2020) Rapidly converting a project-based engineering experience for remote learning: Successes and limitations of using experimental kits and a multiplayer online game, Advances in Engineering Education, December, 32.

Schwerz de Lucena D, Rowe JB, Chan V, Reinkensmeyer DJ (2021) Magnetically counting hand movements: validation of a calibration-free algorithm and application to testing the threshold hypothesis of real-world hand use after stroke, Sensors, 21(4):1502
Research Centers
iMove Collaboratory http://imove.eng.uci.edu/
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