Table 6.1 and 6.2 contains the baseline and blink input used, respectively, for the
neural network. Each set equals the sum of band powers for each sample in one
scenario run. Set 1 in each table was used to train the network. Table 6.3 is the
corresponding output, the classification results, from the neural network.
Table 6.1: Band powers of baseline samples. Eyes open.
Band Set 1 Set 2 Set 3 Set 4 Set 5 Total (Sum)
Delta 1.78 0.97 1.4 0.64 0.68 5.47
Theta 1.3 0.94 0.98 1.05 1.16 5.43
Alpha 1.42 1.49 1.28 1.1 1.33 6.62
Beta 4.28 4.84 4.62 4.69 5 23.43
Gamma 4.19 4.57 4.87 4.64 4.29 22.57
Sum 12.97 12.81 13.16 12.11 12.46 63.51
Table 6.2: Band powers of blink samples.
Band Set 1 Set 2 Set 3 Set 4 Set 5 Total (Sum)
Delta 4.94 4.39 4.69 4.74 3.54 22.3
Theta 2.88 3.59 3.98 3.26 3.5 17.21
Alpha 1.62 2.6 2.74 2.26 2.13 11.35
Beta 3.58 4.52 4.18 4.41 4.7 21.4
Gamma 2.83 3.33 4.23 3.67 3.46 17.52
Sum 15.85 18.43 19.82 18.34 17.34 89.77
Table 6.3: Classification result using data sets from table 6.1 and 6.2. Close to 1 = baseline,
and close to 0 = blink.
Scenario Task Set 1 Set 2 Set 3 Set 4 Set 5 Total (Average)
Baseline 0.82 0.96 0.94 0.97 0.96 0.93
(Eyes Open)
Blink 0.01 0.01 0 0.01 0.03 0.01
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During each scenario, the attention and meditation values, that is calculated by
and received from the mindset, were plotten in a graph, and figure 6.8 is an example of this. The plotting is from scenario 4, the first half (Time < 1600) is from the
baseline, and second half is the blink set (found in table 6.2 and 6.1).