Alessandro Scannapieco
Papers
1
Total Citations
3
H-Index
1
About
Alessandro Scannapieco is a researcher specializing in rehabilitation robotics, assistive technologies, and brain-computer interfaces (BCIs). His work focuses on integrating robotic devices with physiological signals to enhance patient engagement during neurorehabilitation. A key contribution is his development of a robotic hand rehabilitation device that combines finger-independent movement, electromyography (EMG) control, and electroencephalography (EEG)-based biofeedback. This system, validated in his 2016 study (3 citations), allows patients to actively trigger hand movements through their own muscular activity, promoting active participation in therapy. While his citation count is modest, the work demonstrates a novel approach to closed-loop rehabilitation systems, bridging robotics, neural signal processing, and patient-centered design. Scannapieco’s research is particularly relevant for stroke and spinal cord injury recovery, where maximizing neural plasticity through active engagement is critical. His interdisciplinary methodology—merging mechanical engineering with neuroscience—positions him as a contributor to the next generation of intelligent, adaptive rehabilitation tools.
Research Focus
Key Achievements
Top Papers
- 1