Toward Muscle-Aware, Safe, Data-Driven Model Predictive Control of a Hybrid Exoskeleton: Incorporating Ultrasound-Derived Fatigue and Volition Metrics.

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dc.contributor.advisorNitin Sharma, Chair
dc.contributor.advisorDerek Kamper, Member
dc.contributor.advisorHe Huang, Member
dc.contributor.advisorKatherine Saul, Graduate School Representative
dc.contributor.advisorLewek, Michael, Inter-Institutional
dc.contributor.advisorIrena Dujmovic Basuroski, Inter-Institutional
dc.contributor.authorLambeth, Krysten Faith
dc.date.accepted2025-11-17
dc.date.accessioned2025-11-27T13:30:38Z
dc.date.available2025-11-27T13:30:38Z
dc.date.defense2025-08-15
dc.date.issued2025-08-15
dc.date.released2025-11-27
dc.date.reviewed2025-09-25
dc.date.submitted2025-09-24
dc.degree.disciplineBiomedical Engineering
dc.degree.leveldissertation
dc.degree.nameDoctor of Philosophy
dc.descriptionNorth Carolina State University Theses Biomedical Engineering.
dc.formatPh.D. North Carolina State University, 2025.
dc.identifier.otherdeg43694
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/46304
dc.titleToward Muscle-Aware, Safe, Data-Driven Model Predictive Control of a Hybrid Exoskeleton: Incorporating Ultrasound-Derived Fatigue and Volition Metrics.
dcterms.extent1 online resource (xiv, 155 pages) : illustrations

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