Violeta Lazarova

Papers

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About

Violeta Lazarova’s research lies at the intersection of biomedical engineering and human-computer interaction, with a particular focus on fatigue detection and hybrid brain-computer interfaces (BCIs). Her most-cited work, “Combined EEG and EMG fatigue measurement framework with application to hybrid brain-computer interface” (2016), has garnered 13 citations and represents a significant contribution to the field. In this study, Lazarova pioneered a framework that integrates electroencephalography (EEG) and electromyography (EMG) signals to measure mental and physical fatigue in real time, a critical challenge for developing reliable, user-friendly BCIs. By combining these two neurophysiological modalities, she demonstrated how hybrid systems can adapt to user states, improving both accuracy and user comfort—a key step toward practical BCI applications in rehabilitation, assistive technology, and human-robot interaction. Her work bridges engineering, neuroscience, and clinical expertise, reflecting a multidisciplinary approach that has influenced subsequent fatigue-aware interface designs. Lazarova’s contributions are particularly notable for addressing the real-world usability of BCIs, making her a respected figure in the growing community of researchers working to translate laboratory prototypes into robust, everyday tools.