Paolo Bifulco
Papers
7
Total Citations
134
H-Index
5
About
Paolo Bifulco is a biomedical engineer whose research sits at the intersection of biosignal processing, human-machine interfaces, and robotic rehabilitation. His work focuses on developing and evaluating technologies that bridge the gap between human physiology and assistive or rehabilitative devices, with particular emphasis on upper limb motor recovery and quantitative movement analysis. Bifulco's most influential contribution is his comprehensive survey on biosignal-based human-machine interfaces (2021, 77 citations), which has become a key reference for researchers exploring how physiological signals — from EMG to EEG — can drive next-generation assistive technologies. His sustained collaboration with the Salvatore Maugeri Foundation has produced meaningful clinical insights, applying kinematic modeling and robotic rehabilitation systems to objectively assess and improve patient outcomes following neurological and musculoskeletal conditions. A recurring theme across his work is the rigorous quantitative characterization of reaching movements, examining how velocity profiles, smoothness, and kinematic indices reflect motor coordination and recovery progress. His EMG and kinematics studies of upper limb function during robot-assisted therapy further demonstrate his commitment to evidence-based rehabilitation engineering. Bifulco's research continues to inform the design of smarter, more responsive rehabilitation systems for patients with arm and shoulder impairments.
Research Focus
Key Achievements
Top Papers
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