Barath S Narayan

International Institute of Information Technology Bangalore

Papers

Total Citations

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About

Barath S. Narayan is a researcher at the forefront of robotic rehabilitation, specializing in the intersection of biomedical engineering, machine learning, and embedded systems. His primary research focuses on advancing model predictive control for stroke rehabilitation, with a particular emphasis on developing intelligent, patient-responsive robotic systems. Narayan’s major contributions include pioneering the use of CNN-factored surface electromyography (sEMG) for limb angle prediction on edge devices, enabling real-time, adaptive control of rehabilitative robots that can distinguish between voluntary patient movement and needed assistance. This work is critical for later-stage therapy, where promoting patient autonomy is essential for effective recovery. Additionally, he has made significant strides in mechanical design, having developed an 8-DoF forearm rehabilitation device—a notable achievement given the relative scarcity of dedicated forearm rehabilitation tools compared to those for the hand or shoulder. While his most cited works currently hold 2 citations each, reflecting their recent publication in 2024, their foundational nature in advancing edge-computing for rehabilitation and addressing an underserved area of therapy positions Narayan as an emerging innovator in the field of robotic neurorehabilitation.