Silvia Conforto
Papers
8
Total Citations
86
H-Index
5
About
Silvia Conforto is a leading researcher at the intersection of biomedical engineering, human-robot collaboration, and neurorehabilitation. Her work focuses on developing quantitative methods to assess and improve human motor function, with key contributions in two major areas: assistive technologies for movement disorders and ergonomic evaluation of collaborative robotics. In her early career, Conforto pioneered multimodal Brain-Computer Interface (BCI) systems combined with Functional Electrical Stimulation (FES) to suppress pathological tremor—a condition affecting 14.5% of people aged 50–89—addressing a critical gap for the 25% of patients unresponsive to medication (41 citations). She has also advanced neuro-motor recovery assessment by integrating high-resolution EEG, robotics, and Virtual Reality for post-stroke rehabilitation (10 citations). More recently, Conforto has become a key voice in Industry 4.0, developing objective biomechanical and postural stability metrics to evaluate human-robot collaboration (HRC) levels, with studies demonstrating how different collaboration modalities affect trunk oscillations and muscle activity (14 citations, 2024). Her work is notable for translating complex physiological signals into practical, real-world safety and performance benchmarks, directly impacting the design of safer, more efficient collaborative workspaces.
Research Focus
Key Achievements
Top Papers
- 1Multimodal BCI-mediated FES suppression of pathological tremor41 citations · 2010
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