Table 5.
Cognitive and functional brain state features.
| Feature | Description | Main extraction method |
|---|---|---|
| Mental Workload (MW) | Level of working memory during problem solving and analytical reasoning | Mental Workload Classifier: Linear DFA is used to extract classes of low and high mental workloads |
| Mental Load (ML) | EEG channel amplitude | Power Spectral Density -PSD analysis |
| Situation Awareness (SA) | Expertise in predicting risks and making appropriate decisions | Power Spectral Density-PSD analysis |
| Engagement (E) | Level of information-gathering, visual processing, and allocation of attention | Engagement Classifier: PSD bands are used as inputs, and logistic discriminant function analysis (DFA) is applied to find the level of engagement |
| Blink rate (BR) | Portion of signal data points contaminated with eye-blink | Linear Discriminant Analyses |
| Asymmetry index (AI) | Difference of power decreased in alpha at right and left frontal hemispheres | Power Spectral Density-PSD analysis |
| Completion time (CT) | Total time of performance | Difference between end and start of performance |
| Strength | Level of total functional connectivity within channels in a specific subsystem | Functional connectivity network (pairwise phase synchronization) |
| Communication | Level of total functional connectivity between channels from different subsystems | Functional connectivity network (pairwise phase synchronization) |