Giulia Tacchino
Politecnico di Milano, Bioengineering Technology and Systems (Italy)
Papers
2
Total Citations
63
H-Index
2
About
Giulia Tacchino investigates the intersection of neural engineering and neurorehabilitation, with a focus on understanding and enhancing motor recovery after neurological injury. Her research centers on the neural mechanisms underlying active participation during robotic-assisted therapy, a critical factor in successful rehabilitation outcomes. In her highly cited 2016 study (60 citations), Tacchino demonstrated that electroencephalography (EEG) can reveal distinct patterns of neural engagement between active and passively assisted repetitive movements, providing evidence that active involvement fundamentally alters cortical dynamics. This work established a foundation for designing more effective, patient-driven interventions. She also contributed to the technical validation of an integrated robotic hand rehabilitation device that combines finger-independent movement, electromyographic (EMG) control, and EEG-based biofeedback, aiming to maximize patient engagement by allowing movements to be triggered by the patient’s own muscular activity. Through these contributions, Tacchino has advanced the development of closed-loop, brain–computer interface systems for stroke rehabilitation, bridging the gap between neural signal processing and practical clinical tools.
Research Focus
Key Achievements
Top Papers
- 1
- 2