Ivan Bernabucci
Papers
1
Total Citations
2
H-Index
1
About
Ivan Bernabucci’s research lies at the intersection of biomedical engineering, motor control, and rehabilitation technology, with a particular focus on restoring fine motor function after neurological injury. His most cited work, “Measuring regularity of fine upper limb movements with a haptic platform for motor learning and rehabilitation” (2016), introduces a novel haptic system designed to assess and train dexterous hand movements—an area often neglected by conventional robot-assisted arm therapies. By quantifying movement regularity, Bernabucci provides a sensitive metric for tracking recovery and guiding personalized rehabilitation protocols. Though his citation count remains modest, the conceptual contribution is significant: bridging the gap between coarse arm rehabilitation and the precise, coordinated finger movements essential for daily living. His approach combines principles of motor learning with haptic feedback, offering a platform that could extend rehabilitation beyond clinical settings. Bernabucci’s work is particularly relevant for researchers developing assistive technologies for stroke survivors and individuals with upper limb impairments, and it lays a foundation for future studies on sensorimotor integration and neurorehabilitation.
Research Focus
Key Achievements
Top Papers
- 1