Our colleague, Nina Evetovic, attended the IEEE SMC 2025 Conference in Vienna, Austria
Nina Evetović, a PhD researcher and member of the DONUT consortium, attended the IEEE SMC 2025 Conference in Vienna, Austria, where she presented her work titled “Assessment of Mental Fatigue in Healthy Participants During Extended BCI-HMD Sessions.”
Her research investigates EEG-based markers of mental fatigue during prolonged use of brain–computer interfaces (BCIs) with virtual reality (VR) via head-mounted displays (HMDs). Fatigue classification was performed using N-way Partial Least Squares (N-PLS) with linear discriminant analysis, achieving an accuracy of 82.42% (±7.5). The identified components revealed spatial–spectral patterns in occipital and sensorimotor alpha activity, with temporal trajectories showing progressive fatigue accumulation over time.
The results demonstrate the feasibility of EEG-based fatigue monitoring as a means to optimize adaptive BCI-HMD systems for post-stroke neurorehabilitation.
This research was funded by the EU NextGenerationEU through the Recovery and Resilience Plan for Slovakia under project No. 09I03-03-V04-00205 (Z.R.) and project No. 09I03-03-V04-00443 (R.R.). N. Evetović received funding from the HORIZON-MSCA-2022-DN, 101118964-DONUT project.

NPLS models enable robust classification of mental fatigue across multiple sessions in a BCI-HMD VR environment – 1