☰

David J. Reinkensmeyer

Affiliations: 
Mechanical and Aerospace Engineering - Ph.D. University of California, Irvine, Irvine, CA 
Area:
Mechanical Engineering, Robotics Engineering
Google:
"David Reinkensmeyer"
Tree Publications Similar researchers PubMed Report error

Parents

Sign in to add mentor

Children

Sign in to add trainee
Craig D. Takahashi grad student 2003 UC Irvine
Wojciech K. Timoszyk grad student 2003 UC Irvine
Jeff A. Nessler grad student 2005 UC Irvine
Robert J. Sanchez grad student 2005 UC Irvine
Jeremy L. Emken grad student 2006 UC Irvine
Jiayin Liu grad student 2006 UC Irvine
Julius Klein grad student 2009 UC Irvine
Laura Marchal-Crespo grad student 2009 UC Irvine
Steven J. Spencer grad student 2011 UC Irvine
Sergio Perez grad student 2012 UC Irvine
Nizan Friedman grad student 2013 UC Irvine
Jaime E. Duarte grad student 2014 UC Irvine
Daniel K. Zondervan grad student 2014 UC Irvine
Sumner L Norman grad student 2012-2017 UC Irvine (Neurotree)
Alexander N Alvara grad student 2014-2017 UC Irvine (Physics Tree)

Collaborators

Sign in to add collaborator
BETA: Related publications

Publications

You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Johnson CA, Reinsdorf DS, Reinkensmeyer DJ, et al. (2023) Robotically quantifying finger and ankle proprioception: Role of range, speed, anticipatory errors, and learning. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2023: 1-5
Okita S, Yakunin R, Korrapati J, et al. (2023) Counting Finger and Wrist Movements Using Only a Wrist-Worn, Inertial Measurement Unit: Toward Practical Wearable Sensing for Hand-Related Healthcare Applications. Sensors (Basel, Switzerland). 23
Swanson VA, Johnson CA, Zondervan DK, et al. (2023) Exercise repetition rate measured with simple sensors at home can be used to estimate Upper Extremity Fugl-Meyer score after stroke. Frontiers in Rehabilitation Sciences. 4: 1181766
Swanson VA, Johnson C, Zondervan DK, et al. (2023) Optimized Home Rehabilitation Technology Reduces Upper Extremity Impairment Compared to a Conventional Home Exercise Program: A Randomized, Controlled, Single-Blind Trial in Subacute Stroke. Neurorehabilitation and Neural Repair. 15459683221146995
Norman SL, Wolpaw JR, Reinkensmeyer DJ. (2022) Targeting neuroplasticity to improve motor recovery after stroke: an artificial neural network model. Brain Communications. 4: fcac264
Ramos Muñoz EJ, Swanson VA, Johnson C, et al. (2022) Using Large-Scale Sensor Data to Test Factors Predictive of Perseverance in Home Movement Rehabilitation: Optimal Challenge and Steady Engagement. Frontiers in Neurology. 13: 896298
Comellas M, Chan V, Zondervan DK, et al. (2022) A Dynamic Wheelchair Armrest for Promoting Arm Exercise and Mobility After Stroke. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society. 30: 1829-1839
Reinsdorf DS, Mahan EE, Reinkensmeyer DJ. (2022) Proprioceptive Gaming: Making Finger Sensation Training Intense and Engaging with the P-Pong Game and PINKIE Robot. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2021: 6715-6720
Swanson VA, Chan V, Cruz-Coble B, et al. (2021) A Pilot Study of a Sensor Enhanced Activity Management System for Promoting Home Rehabilitation Exercise Performed during the COVID-19 Pandemic: Therapist Experience, Reimbursement, and Recommendations for Implementation. International Journal of Environmental Research and Public Health. 18
Smith BW, Lobo-Prat J, Zondervan DK, et al. (2021) Using a bimanual lever-driven wheelchair for arm movement practice early after stroke: A pilot, randomized, controlled, single-blind trial. Clinical Rehabilitation. 2692155211014362
See more...