Manikandan Ravi
Papers
3
Total Citations
9
H-Index
2
About
Manikandan Ravi is a researcher at the forefront of rehabilitation robotics and human movement science, specializing in the biomechanical and neural adaptations that occur during robot-assisted gait. His work uniquely bridges the gap between engineering and clinical rehabilitation, focusing on how individuals with spinal cord injury (SCI) and able-bodied controls interact with wearable exoskeletons. Ravi’s major contributions include the dynamic assessment of posture and balance, where he has pioneered the use of 3-D center of mass (CoM) analysis to evaluate trunk and lower-extremity coordination during exoskeleton walking with devices like the EksoGT™ and ReWalk™. His preliminary study on dynamic margins of stability introduced robust, objective metrics to quantify altered gait mechanics, moving beyond traditional lower-limb focus. Notably, his exploratory work on cortico-muscular connectivity (CMC) using mobile EEG during walking has opened new avenues for understanding brain-muscle communication in incomplete SCI. With a growing citation impact of over 9 citations across his key papers, Ravi’s research is shaping safer, more effective robotic rehabilitation protocols, making him a rising voice in neurorehabilitation engineering.
Research Focus
Key Achievements
Top Papers
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