Nikolay Neshov
Papers
1
Total Citations
13
H-Index
1
About
Nikolay Neshov is a researcher whose work sits at the intersection of biomedical signal processing, human-computer interaction, and assistive technology. His primary research areas include electroencephalography (EEG)-based brain-computer interfaces (BCIs), electromyography (EMG) analysis, and multimodal fatigue measurement. Neshov’s most notable contribution is the development of a combined EEG and EMG fatigue measurement framework, published in 2016, which has garnered 13 citations and provides a robust methodology for monitoring cognitive and muscular fatigue in real time. This framework has direct applications in hybrid BCIs, where it enhances system reliability and user safety during prolonged use. By integrating neural and muscular signals, Neshov addresses a critical challenge in BCI research—maintaining performance under fatigue—making his work valuable for rehabilitation robotics and neuroergonomics. His contributions support the broader goal of creating more adaptive, user-friendly assistive technologies, and his interdisciplinary approach bridges engineering, neuroscience, and clinical practice. Neshov’s research continues to influence the design of next-generation BCIs that are both practical and resilient.
Research Focus
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Top Papers
- 1