Papers

19

Total Citations

570

H-Index

11

About

Marco Bravi is a prominent researcher specializing in robot-aided rehabilitation, neural plasticity, and brain-computer interfaces, with a particular focus on upper-limb motor recovery following stroke. His work sits at the intersection of robotics, neuroscience, and clinical rehabilitation, making significant contributions to how technology can restore motor function in neurological patients. Bravi's most influential contribution, "Quantitative Evaluation of Upper-Limb Motor Control in Robot-Aided Rehabilitation" (2011, 135 citations), established foundational metrics for assessing robotic therapy outcomes. His subsequent research demonstrated that robotic rehabilitation induces meaningful inter-hemispheric brain reorganization in chronic stroke patients, bridging neuroscience and clinical practice. Notably, his 2020 study (69 citations) advanced the field further by introducing an EEG/EOG-controlled whole-arm exoskeleton enabling stroke survivors to independently perform everyday activities. Bravi has also pioneered the combination of transcranial direct current stimulation with robotic therapy and developed psychophysiologically adaptive control systems that personalize treatment to individual patients. His recent work on home-based robotic rehabilitation reflects a growing commitment to extending these innovations beyond clinical settings. With over 500 cumulative citations, his research continues to shape modern neurorehabilitation strategies for both adult and pediatric populations.

Research Focus

Key Achievements

11
H-Index
19
Papers
570
Total Citations
30
Avg Citations/Paper
🏆 Most Cited Paper
Quantitative evaluation of upper-limb motor control in robot-aided rehabilitation
135 citations · 2011
📈 Most Prolific Year: 2022 (5 Papers)
🤝 Key Collaborators: 92
🏛 Institutions: Università Campus Bio-Medico, Campus Bio Medico University Hospital

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago