V. Magagnin
Papers
2
Total Citations
8
H-Index
2
About
V. Magagnin is a researcher specializing in the intersection of biomedical signal processing, cardiovascular regulation, and robotic rehabilitation. Their work focuses on understanding how the autonomic nervous system responds to robotic assisted locomotion—a key area for improving rehabilitation strategies in individuals with sensorimotor loss. Magagnin’s major contributions include pioneering the use of advanced analytical methods, such as autoregressive spectral analysis and empirical mode decomposition (EMD), to assess short-term heart rate variability during robotic gait training. Their 2008 study, which compared these techniques in normal subjects, is their most cited work (6 citations), offering foundational insights into cardiovascular dynamics during robotic therapy. A related 2007 preliminary study (2 citations) further explored cardiac responses, highlighting the potential of ECG-based spectral analysis to quantify autonomic changes. Though citation counts are modest, Magagnin’s research is notable for bridging engineering and clinical physiology, providing tools to evaluate the safety and efficacy of robotic rehabilitation. Their work remains relevant for researchers developing adaptive, patient-responsive robotic systems.
Research Focus
Key Achievements
Top Papers
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