Katie Meadmore
Papers
7
Total Citations
514
H-Index
6
About
Katie Meadmore is a prominent rehabilitation engineering researcher whose work sits at the intersection of control systems, neurotechnology, and clinical practice. She is best known for pioneering the application of Iterative Learning Control (ILC) to upper limb stroke rehabilitation, developing the SAIL (Stimulation Assistance through Iterative Learning) system, which combines functional electrical stimulation (FES), robotics, and virtual reality to restore arm movement in neurologically impaired patients. Her landmark 2012 paper on ILC in healthcare has garnered 245 citations, establishing her as a leading voice in the field. Meadmore has extended this work beyond stroke, demonstrating the feasibility of FES-robotic interventions for people with multiple sclerosis, reflecting her commitment to broadening the reach of assistive technologies. Notably, she has championed patient-centred research methodologies, incorporating qualitative feedback and participant perspectives to evaluate emerging rehabilitation technologies — a relatively rare approach in engineering-led research. With a cumulative citation count exceeding 500 across her most influential publications, her contributions have meaningfully shaped how engineers and clinicians collaborate to design effective, human-centred neurorehabilitation systems for chronically disabled populations.
Research Focus
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Top Papers
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