Table 6.
Segmentation level | Best selection of signals | Best classifier | Best accuracy [Mean (SD)] |
---|---|---|---|
1 | ECG + RESP | MLP | 0.94 (0.06) |
2 | ECG + RESP | SVC | 0.95 (0.07) |
5 | EDA + RESP | RF | 0.95 (0.05) |
10 | ECG+RESP/EDA+ECG+RESP | SVC | 0.90 (0.05) |
20 | ECG+RESP/EDA+ECG+RESP | RF | 0.89 (0.04) |
40 | ECG+RESP/EDA+ECG+RESP | RF | 0.84 (0.05) |
Bold values show the best score achieved by the model.