Usman Naeem
Papers
1
Total Citations
23
H-Index
1
About
Usman Naeem is a researcher whose work lies at the intersection of motor neuroscience, human-robot interaction, and rehabilitation engineering. His key research areas include sensorimotor control, muscle coordination, and the application of robotic systems to understand and enhance human movement. Naeem's major contribution is his investigation into how the central nervous system orchestrates multi-muscle activation during motor adaptation, particularly in novel force fields. His most-cited paper (2017, 23 citations) uses high-frequency intermuscular coherence (IMC) to reveal coherent coupling between arm muscle pairs during robot-mediated adaptation, shedding light on the neural mechanisms underlying co-contraction and coordination. This work has implications for designing more effective robotic rehabilitation therapies for individuals with motor impairments. By combining advanced signal processing with robotic perturbation, Naeem provides a window into the brain's strategies for learning and control. His research is notable for bridging fundamental motor control theory with practical applications in assistive and rehabilitative robotics, making it highly relevant for students and researchers in biomechanics, neurorehabilitation, and human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1