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About

Sandra Dudley is a pioneering researcher at the intersection of biomedical engineering and non-invasive sensing technologies. Her work primarily focuses on developing novel physiological monitoring systems and machine learning applications for healthcare diagnostics. Dudley's most impactful contribution is her 2021 study on emotion recognition using impulse radio ultra-wideband radar and machine learning, which has garnered 42 citations. This groundbreaking approach demonstrates how respiration patterns can be used to detect emotional states, offering a non-contact alternative for human-computer interaction and therapeutic applications. Her earlier work includes an automated peripheral neuropathy assessment system for diabetic patients using optical imaging (2013, 7 citations), which addresses the critical need for regular foot testing to prevent ulceration. Dudley also contributed to structural health monitoring through her development of a wall-climbing robotic ground penetrating radar system for inspecting vertical concrete structures (2016, 7 citations), achieving a 40% antenna size reduction. Her research bridges the gap between advanced sensing technologies and practical medical applications, making significant strides in non-invasive diagnostics and human-machine interfaces.