Spinal Cord Injuries — Modeling, Optimization, and Control Methods for a Personalized Hybrid Walking Exoskeleton
Citation(s)
Alibeji NA, Kirsch NA, Sharma N A Muscle Synergy-Inspired Adaptive Control Scheme for a Hybrid Walking Neuroprosthesis. Front Bioeng Biotechnol. 2015 Dec 21;3:203. doi: 10.3389/fbioe.2015.00203. eCollection 2015. Review.
Alibeji NA, Molazadeh V, Dicianno BE, Sharma N A Control Scheme That Uses Dynamic Postural Synergies to Coordinate a Hybrid Walking Neuroprosthesis: Theory and Experiments. Front Neurosci. 2018 Apr 10;12:159. doi: 10.3389/fnins.2018.00159. eCollection 2018.
Bao X, Kirsch N, Dodson A, Sharma N Model Predictive Control of a Feedback-Linearized Hybrid Neuroprosthetic System With a Barrier Penalty. J Comput Nonlinear Dyn. 2019 Oct 1;14(10):101009-1010097. doi: 10.1115/1.4042903. Epub 2019 Sep 9.
Kirsch N, Alibeji N, Fisher L, Gregory C, Sharma N A semi-active hybrid neuroprosthesis for restoring lower limb function in paraplegics. Conf Proc IEEE Eng Med Biol Soc. 2014;2014:2557-60. doi: 10.1109/EMBC.2014.6944144.
Kirsch NA, Bao X, Alibeji NA, Dicianno BE, Sharma N Model-Based Dynamic Control Allocation in a Hybrid Neuroprosthesis. IEEE Trans Neural Syst Rehabil Eng. 2018 Jan;26(1):224-232. doi: 10.1109/TNSRE.2017.2756023. Epub 2017 Sep 22.
Modeling, Optimization, and Control Methods for a Personalized Hybrid Walking Exoskeleton
Interventional studies are often prospective and are specifically tailored to evaluate direct impacts of treatment or preventive measures on disease.
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