Showing results (71-80 of 403) with videos related to
Sort By:
Pageof 41
Brain Communications|December 2, 2022
Targeting neuroplasticity to improve motor recovery after stroke: an artificial neural network modelSumner L Norman, Jonathan R Wolpaw, David J ReinkensmeyerJournal of Neurophysiology|August 9, 2018
Real-time slacking as a default mode of grip force control: implications for force minimization and personal grip force variationBrendan W Smith, Justin B Rowe, David J ReinkensmeyerAssistive Technology : the Official Journal of RESNA|May 17, 2017
Design and experimental evaluation of yoked hand-clutching for a lever drive chairYasemin Sarigul-Klijn, Brendan W Smith, David J ReinkensmeyerIEEE ... International Conference on Rehabilitation Robotics : [Proceedings]|January 26, 2012
Single degree-of-freedom exoskeleton mechanism design for finger rehabilitationEric T Wolbrecht, David J Reinkensmeyer, Alba Perez-GraciaIEEE ... International Conference on Rehabilitation Robotics : [Proceedings]|August 18, 2017
How do strength and coordination recovery interact after stroke? A computational model for informing robotic trainingSumner L Norman, Joan Lobo-Prat, David J ReinkensmeyerNeurorehabilitation and Neural Repair|February 25, 2009
A randomized controlled trial of gravity-supported, computer-enhanced arm exercise for individuals with severe hemiparesisSarah J Housman, Kelly M Scott, David J ReinkensmeyerStroke|September 28, 2023
Lifetime and Acute Stress Predict Functional Outcomes Following Stroke: Findings From the Longitudinal STRONG StudyE Alison Holman, Steven C Cramer, Journal of Telemedicine and Telecare|June 22, 2021
Predicting motor gains with home-based telerehabilitation after strokeSang Min Paik, Steven C CramerBrain Research|December 19, 2012
The BDNF val(66)met polymorphism is not related to motor function or short-term cortical plasticity in elderly subjectsStephanie A McHughen, Steven C CramerPageof 41