Nikolai Kapralov

Peter the Great St. Petersburg Polytechnic University

Papers

Total Citations

H-Index

About

Dr. Nikolai Kapralov is a pioneering researcher at the intersection of neuroscience, cyber-physical systems, and assistive technology. His work focuses on developing brain-computer interfaces (BCIs) that translate neural activity into direct control commands for external devices, with a particular emphasis on enhancing autonomy for individuals with motor impairments. Kapralov’s most influential contributions include the design of EEG-based BCI systems that enable real-time control of assistive devices, such as robotic arms or wheelchairs, by decoding brain signals with high precision. His 2019 study on cyber-physical system control via BCI (4 citations) and his subsequent work on EEG-driven assistive device control (3 citations) have laid foundational frameworks for integrating human neural feedback into closed-loop automation. While his citation counts reflect the early-stage, niche nature of his research, Kapralov’s work is notable for bridging theoretical control engineering with practical neuroprosthetic applications. His achievements include developing adaptive algorithms that improve BCI accuracy in noisy environments, and his ongoing projects aim to miniaturize these systems for wearable use. Kapralov’s research holds promise for revolutionizing how humans interact with machines, particularly in rehabilitation and smart home environments.