Table 2.
Feature extraction technique for all three leaves
| Time domain (statistical features) | Serial no. | Frequency domain features | Serial no. | Time–frequency domain | Serial no. |
|---|---|---|---|---|---|
| No. of features | 11 | No. of features | 10 | No. of features | (4) |
| Mean | 1 | CPSD (D = 20) | 12 | Subband1 | 22 |
| Variance | 2 | CPSD (D = 40) | 13 | Subband2 | 23 |
| (MAD) | 3 | CPSD (D = 60) | 14 | Subband3 | 24 |
| Skewness | 4 | CPSD (D = 80) | 15 | Subband4 | 25 |
| Kurtosis | 5 | CPSD(D = 100) | 16 | ||
| Standard deviation | 6 | PSD (D = 20) | 17 | ||
| MAV | 7 | PSD (D = 40) | 18 | ||
| 75th (Q3) | 8 | PSD (D = 60) | 19 | ||
| 25th (Q1) | 9 | PSD (D = 80) | 20 | ||
| PCC | 10 | PSD (D = 100) | 21 | ||
| IQR | 11 |