为了方便实时和离线分析，B – Alert 的Athena 测量表可以完全定制以适应用户的需要。在下面图示的标准格式中，易读取的仪表盘测量表（左上）和时间序列（底部）窗口呈现了B-Alert 高度验证过的逐秒度量：参与度、工作量和嗜睡（连同心率），热图（右上）显示了对于传统的脑波（Beta, Alpha, Theta, Sigma）在空域和时域的脑电EEG能谱密度（PSD）
 
B-Alert Wireless EEG bio-metrics are normalized to an individual subject using 5-minutes of baseline data from three distinct tasks with the sleep onset class predicted from the baseline PSD values. A probability-of-fit is then generated for each of the four classes for each epoch with the sum of the probabilities across the four classes equaling 1.0 (e.g., 0.45 high engagement, 0.30 low engagement, 0.20 distraction and 0.05 sleep onset). Cognitive State for a given second represents the class with the greatest probability. B-Alert cognitive state metrics are derived for each one-second epoch using 1 Hz power spectra densities (PSD) bins from differential sites FzPO and CzPO in a four-class quadratic discriminant function analysis (DFA) that is fitted to the individual’s unique EEG patterns. The table below identifies and briefly describes each baseline task, and associates the task with the B-Alert classification.