Papers
1
Total Citations
5
H-Index
1
About
Okba Bekhelifi is a researcher advancing the field of hybrid brain-computer interfaces (hBCIs), with a focus on combining endogenous and exogenous neurophysiological paradigms to enhance communication speed and command flexibility. His key research areas include electroencephalography (EEG)-based BCI systems, particularly the integration of event-related potentials (ERP) and steady-state visual evoked potentials (SSVEP). In his notable 2024 work, "Effects of the presentation order of stimulations in sequential ERP/SSVEP Hybrid Brain-Computer Interface," Bekhelifi addresses a critical limitation of concurrent hBCIs—the restricted set of possible commands—by exploring how stimulus presentation order influences system performance. This study, which has garnered 5 citations, contributes to optimizing hybrid BCI designs for more efficient and user-friendly applications. Through his research, Bekhelifi is helping to overcome barriers in BCI technology, paving the way for improved assistive devices and neurorehabilitation tools. His work is particularly relevant for students and researchers interested in the intersection of neuroscience, signal processing, and human-computer interaction, offering insights into how multimodal brain signals can be harnessed for more robust and versatile BCI systems.
Research Focus
Key Achievements
Top Papers
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