S. Mohebban
Papers
1
Total Citations
6
H-Index
1
About
S. Mohebban is a researcher at the forefront of neurorehabilitation engineering, specializing in the intersection of human-robot interaction, brain-computer interfaces, and motor learning. Their most impactful work investigates the critical role of visual feedback and physiotherapist-patient interaction during robot-assisted gait training. In their highly cited 2024 study, Mohebban employed a novel combination of eye-tracking and high-density EEG (HD-EEG) to dissect the neural and behavioral dynamics of this triadic interaction—between patient, therapist, and robot. This work, already garnering 6 citations, provides foundational evidence for how visual cues and social engagement shape cortical activity and motor recovery outcomes. By moving beyond traditional one-to-one therapy models, Mohebban’s research directly informs the design of more adaptive, patient-centered robotic rehabilitation systems. Their contributions are pivotal for developing next-generation neuroprosthetics and closed-loop training protocols that optimize both neural engagement and therapeutic efficacy, marking them as a rising leader in the field of intelligent rehabilitation technology.
Research Focus
Key Achievements
Top Papers
- 1