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Neurology|September 2, 2011
Anatomy and physiology predict response to motor cortex stimulation after strokeSarvenaz Nouri, Steven C Cramer
Current Neurology and Neuroscience Reports|January 10, 2013
Biomarkers and predictors of restorative therapy effects after strokeErin Burke, Steven C Cramer
Neurorx : the Journal of the American Society for Experimental Neurotherapeutics|October 3, 2006
Imaging motor recovery after strokeNuray Yozbatiran, Steven C Cramer
IEEE ... International Conference on Rehabilitation Robotics : [Proceedings]|November 5, 2013
Lever-actuated resonance assistance (LARA): a wheelchair-based method for upper extremity therapy and overground ambulation for people with severe arm impairmentDaniel K Zondervan, Brendan Smith, David J Reinkensmeyer
Sensors (Basel, Switzerland)|October 29, 2025
Robotic Ankle Assessment Post-Stroke: Reliability, Comparison to Therapists, and Benchmark Dataset DevelopmentChristopher A Johnson, Andria J Farrens, Piyashi Biswas, et al.
Journal of Rehabilitation Research and Development|November 24, 2006
Tools for understanding and optimizing robotic gait trainingDavid J Reinkensmeyer, Daisuke Aoyagi, Jeremy L Emken, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Model-based assistance-as-needed for robotic movement therapy after strokeHossein Taheri, David J Reinkensmeyer, Eric T Wolbrecht
Neural Networks : the Official Journal of the International Neural Network Society|March 7, 2012
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, Emmanuel Guigon, Marc A Maier
Neurorehabilitation and Neural Repair|October 27, 2017
A Home-Based Telerehabilitation Program for Patients With StrokeLucy Dodakian, Alison L McKenzie, Vu Le, et al.
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