Table 2.
Averaged single-trial classification accuracy (%) in physiological, pharmacological, and pathological conditions for TMS–EEG: this represents the accuracy ± standard deviation.
| Target domain | Source domain | Arousal | Awareness |
|---|---|---|---|
| Sleep | Sleep | 87.79 ± 2.50 | 91.95 ± 4.74 |
| Sleep + Ane | 87.23 ± 2.99 | 89.96 ± 5.48 | |
| Sleep + DoC | 80.73 ± 5.05 | 89.60 ± 4.26 | |
| Sleep + Ane + DoC | 84.01 ± 3.46 | 91.14 ± 4.29 | |
| Ane | Ane | 79.01 ± 10.61 | 80.20 ± 10.06 |
| Ane + Sleep | 82.58 ± 6.92 | 87.78 ± 6.46 | |
| Ane + DoC | 69.99 ± 11.89 | 82.22 ± 10.66 | |
| Ane + Sleep + DoC | 72.68 ± 17.22 | 85.61 ± 9.09 | |
| DoC | DoC | – | 75.84 ± 14.71 |
| DoC + Sleep | 75.94 ± 18.14 | 79.44 ± 15.51 | |
| DoC + Ane | 83.12 ± 12.79 | 75.30 ± 11.99 | |
| DoC + Sleep + Ane | 66.29 ± 19.02 | 78.78 ± 12.98 |
Ane anesthesia domain, DoC patients with disorders of consciousness domain.
The target domain implies the condition with the target participant to be tested for calculating explainable consciousness indicator (ECI) using convolutional neural network (CNN) with spatiotemporal information, and the source domain implies the conditions included in training for learning classifiers.