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2
Total Citations
180
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About
Eric Yang is a leading researcher in neurorehabilitation engineering, with a core focus on developing robotic technologies to quantify and predict motor recovery after stroke. His major contributions center on establishing objective, robotic-based biomarkers of motor impairment that surpass the limitations of traditional clinical scales. In his highly influential 2013 paper, "Robotic Measurement of Arm Movements After Stroke Establishes Biomarkers of Motor Recovery," Yang demonstrated that high-resolution kinematic data from robotic devices bear a significant relationship to standard clinical outcomes, laying the groundwork for more precise, automated assessments. This seminal work has garnered over 156 citations, reflecting its foundational impact on the field. More recently, in 2021, Yang advanced this approach by showing that robotic measurements can accurately predict clinical stroke scales and provide improved biomarkers of motor impairment, directly addressing the challenge of human rater subjectivity in clinical trials. His work is pivotal for designing more objective, sensitive endpoints in stroke rehabilitation studies, promising to accelerate the development of effective therapies.
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