David J. Reinkensmeyer
Affiliations: | Mechanical and Aerospace Engineering - Ph.D. | University of California, Irvine, Irvine, CA |
Area:
Mechanical Engineering, Robotics EngineeringGoogle:
"David Reinkensmeyer"Children
Sign in to add traineeCraig 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) |
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Publications
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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 |