Dheeraj Rathee

University of Essex, Netaji Subhas University of Technology

Papers

Total Citations

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About

Dheeraj Rathee is a researcher at the forefront of neural engineering and brain-machine interfaces (BMIs), with a primary focus on neurorehabilitation for post-stroke recovery. His most cited work (2019, 42 citations) investigates how BMI-driven robot-assisted therapy improves upper-limb motor function in hemiparetic patients, revealing that functional recovery is correlated with beta-band mediated cortical networks—a key neurophysiological insight that bridges the gap between intervention and brain plasticity. This contribution has significant implications for designing more effective, personalized neurorehabilitation protocols. Rathee also explored real-time human-machine interaction using deliberate eye blinks from EEG signals (2015), demonstrating early innovation in accessible control systems for assistive technologies. His research integrates signal processing, machine learning, and clinical neuroscience to decode neural activity for practical applications. By elucidating the neural mechanisms underlying BMI-driven recovery, Rathee’s work not only advances fundamental understanding of motor rehabilitation but also paves the way for next-generation neuroprosthetics. His findings are essential reading for students and researchers in neural engineering, rehabilitation robotics, and clinical neuroscience.