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Resolution: standard / high Figure 1.
EEG-based definition criteria of VIGALL for vigilance classification according to
Bente (1964) & Roth (1961). Note: Vigilance stages were sub-classified (column 2) according to Bente (1964)
and Roth (1961). Continuous EEG-based vigilance stages from full alertness to drowsiness
are determined by VIGALL according to defined decision criteria (column 1). The first
column presents that vigilance stage A is corresponding to the presence of high alpha
power. Low alpha power features vigilance stage B. VIGALL classifies substages based
on EEG-power source estimates using sLORETA: A1 (occipital ROI power (α) > = parietal
and frontal ROI power(α)), A2 (occipital ROI power (α) < parietal and frontal ROI
power(α) and temporal and parietal ROI power(α) > = frontal ROI 1.5* power (α)), A3
(occipital ROI power (α) < parietal and frontal ROI power(α) and temporal and parietal
ROI power(α) < frontal ROI 1.5* power (α)), B1 (power(α+δ+θ) in one ROI = < 7.5*10-6 μA2/mm4 per data point), B2/3 (power(α+δ+θ) in one ROI > 7.5*10-6 μA2/mm4 per data point. The right column depicts EEG curves of native two-seconds-segments.
Minkwitz et al. Behavioral and Brain Functions 2011 7:31 doi:10.1186/1744-9081-7-31 |