Gary S. Littman
Papers
2
Total Citations
180
H-Index
2
About
Gary S. Littman is a leading researcher in neurorehabilitation engineering, with a primary focus on developing quantitative, robotic-based methods to assess and predict motor recovery after stroke. His major contributions lie in demonstrating that high-resolution kinematic and kinetic data captured by robotic devices can serve as objective biomarkers of motor impairment, offering a more precise alternative to traditional, subjective clinical scales. His seminal 2013 paper, "Robotic Measurement of Arm Movements After Stroke Establishes Biomarkers of Motor Recovery," has garnered 156 citations and established a foundational framework for using robotic measures to track recovery longitudinally. Building on this, his 2021 work, "Accurate prediction of clinical stroke scales and improved biomarkers of motor impairment from robotic measurements," advanced the field by showing that these robotic metrics can not only correlate with but also accurately predict standard clinical outcomes, addressing a critical challenge in clinical trial design—the variability introduced by human raters. Littman’s research is pivotal for creating more reliable, objective endpoints in stroke rehabilitation trials, ultimately aiming to accelerate the development of effective therapies and improve patient outcomes.
Research Focus
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Top Papers
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