Laura Burattini

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About

Laura Burattini’s research lies at the intersection of biomedical engineering, neurorehabilitation, and human–robot interaction, with a focus on understanding how individual physiological differences shape the control of assistive technologies. Her key contributions center on the influence of gender on surface electromyographic (sEMG) signals—a critical factor often overlooked in the design of robotic exoskeletons and prosthetics. In her highly cited 2014 study on shank muscles (8 citations), she demonstrated that sEMG patterns vary significantly between male and female subjects, highlighting the need for gender-aware algorithms in robotic controllers. A companion study on thigh muscles (2 citations) further reinforced this finding, establishing a foundation for more personalized human–machine interfaces. Beyond signal analysis, Burattini has advanced clinical applications of robotics: her 2021 randomized controlled trial protocol (3 citations) explores innovative robot-assisted training for older adults with subacute stroke, aiming to restore gait and reduce disability. This work addresses a pressing public health challenge, as stroke incidence doubles each decade after age 55. By bridging fundamental neuromuscular science with translational rehabilitation engineering, Burattini’s research promises to make robotic systems more adaptive, inclusive, and effective for diverse populations.