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S. Cerutti is a researcher whose work lies at the intersection of cardiovascular physiology and rehabilitation robotics, with a particular focus on how robotic-assisted locomotion affects the autonomic nervous system. Their key contributions center on evaluating cardiac and autonomic responses in healthy subjects during treadmill training with robot-driven gait orthoses. Cerutti’s most-cited study (2009, 18 citations) established a foundational understanding of autonomic regulation during such interventions, while subsequent work (2008, 6 citations) introduced methodological innovations by comparing autoregressive spectral analysis with empirical mode decomposition for short-term heart rate variability assessment. Though their publication record is modest in size, Cerutti’s research addresses a critical gap in rehabilitation science: understanding how robotic systems influence cardiovascular control. Their preliminary work (2007, 2 citations) laid the groundwork for assessing autonomic nervous system activity via ECG and spectral analysis during robotic-assisted locomotion. Cerutti’s findings have implications for designing safer, more effective rehabilitation protocols for individuals with sensorimotor impairments, highlighting the importance of integrating physiological monitoring into robotic therapy systems.