Sergei Kharchenko

Tomsk State University of Control Systems and Radio-Electronics

Papers

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About

Sergei Kharchenko is a researcher focused on the intersection of biomedical engineering and human-computer interaction, with a particular emphasis on neurophysiological signal processing. His key research areas include the application of visually evoked potentials (VEPs) for brain-computer interfaces, the development of non-invasive diagnostic tools, and the optimization of measurement systems for clinical and assistive technologies. Kharchenko’s major contribution lies in his critical analysis of the practical limitations and patient-specific restrictions inherent in VEP-based systems, as detailed in his most-cited work, "Restrictions of the Measurement System and a Patient When Using Visually Evoked Potentials" (2019, 4 citations). This paper systematically addresses challenges such as signal noise, patient variability, and equipment constraints, offering a foundational framework for improving the reliability of neurocomputer interfaces. By unraveling the complexities of human-machine interaction, Kharchenko’s work informs the design of more robust and accessible technologies for individuals with motor disabilities. His research underscores the importance of bridging theoretical neurophysiology with real-world clinical applications, making his insights valuable for students and engineers developing next-generation assistive devices.