Research Article
Stress Classification by Multimodal Physiological Signals Using Variational Mode Decomposition and Machine Learning
Table 1
Format of the feature map used in experimentation for channels
and
for
.
| Channel | Mode | Area | m (r = 0.5) | ctm (r = 0.5) | Target |
| EEG Fp1 | 1 | 2.53 | 0.93 | 0.19 | 1 | EEG Fp1 | 2 | 37.39 | 0.20 | 0.26 | 1 | EEG Fp1 | 3 | 63.25 | 0.13 | 0.29 | 1 | EEG Fp1 | 4 | 11.44 | 0.31 | 0.25 | 1 | EEG Fp1 | 5 | 4.78 | 0.41 | 0.24 | 1 | EEG Fp1 | 6 | 48.82 | 0.16 | 0.28 | 1 | EEG Fp1 | 7 | 12.03 | 0.28 | 0.28 | 1 | EEG Fp1 | 8 | 33.35 | 0.22 | 0.26 | 1 | EEG Fp2 | 1 | 3.19 | 0.85 | 0.21 | 1 | EEG Fp2 | 2 | 4.70 | 0.56 | 0.24 | 1 | EEG Fp2 | 3 | 22.77 | 0.26 | 0.25 | 1 | EEG Fp2 | 4 | 27.51 | 0.28 | 0.24 | 1 | EEG Fp2 | 5 | 27.43 | 0.23 | 0.25 | 1 | EEG Fp2 | 6 | 22.22 | 0.24 | 0.26 | 1 | EEG Fp2 | 7 | 29.60 | 0.21 | 0.28 | 1 | EEG Fp2 | 8 | 1.77 | 0.42 | 0.27 | 1 |
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