Papers
4
Total Citations
88
H-Index
4
About
Annalisa Gison is a leading researcher in neurorehabilitation engineering, specializing in the use of robotic technologies and surface electromyography (sEMG) to assess and enhance motor recovery after stroke. Her work focuses on two critical areas: upper limb robot-assisted therapy (ulRT) and overground robot-assisted gait training (o-RAGT). Gison’s major contribution lies in transforming robotic devices from mere therapeutic tools into precise assessment platforms. She pioneered the use of robot-measured kinematic parameters as novel biomarkers for tracking patient progress, demonstrating that pre-treatment kinematic data can predict rehabilitation outcomes—a finding that has garnered over 40 citations for her landmark 2019 study. Her research further explores the integration of sEMG with robotic gait training, revealing that functional gait recovery does not always correspond to significant changes in muscle activation patterns, a crucial insight for optimizing therapy protocols. Gison has also identified key barriers to sEMG assessment in clinical settings, advancing practical applications of neurorehabilitation. Her work is pivotal for students and clinicians seeking to bridge the gap between robotic therapy and objective, data-driven patient evaluation.
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