Table 1.
The classification results using the combination of entropy features for the Bern-Barcelona (BB) dataset.
| Feature | Accuracy (%) | Sensitivity (%) | Specificity (%) |
|---|---|---|---|
| Single feature | |||
| ApEn | 62.89 | 67.22 | 58.56 |
| SampEn | 96.84 | 100 | 93.69 |
| PermEn | 57.05 | 40.90 | 73.20 |
| FuzzyEn | 67.82 | 73.03 | 62.62 |
| LogEn | 59.89 | 61.80 | 57.98 |
| Two features | |||
| SampEn, ApEn | 97.41 | 99.14 | 95.68 |
| SampEn, LogEn | 98.80 | 97.98 | 99.74 |
| SampEn, PermEn | 96.75 | 99.98 | 93.53 |
| SampEn, FuzzyEn | 96.53 | 94.33 | 99 |
| ApEn, LogEn | 66.89 | 68.01 | 65.77 |
| ApEn, PermEn | 63.79 | 63.57 | 64 |
| ApEn, FuzzyEn | 70.89 | 74.27 | 67.46 |
| LogEn, PermEn | 61.21 | 58.82 | 63.60 |
| LogEn, FuzzyEn | 70.83 | 74.05 | 67.61 |
| PermEn, FuzzyEn | 69.44 | 75.00 | 63.88 |
| Three features | |||
| SampEn, ApEn, LogEn | 98.78 | 99.29 | 98.17 |
| SampEn, ApEn, PermEn | 98.30 | 99.47 | 97.13 |
| SampEn, ApEn, FuzzyEn | 98.47 | 99.15 | 97.80 |
| SampEn, PermEn, LogEn | 98.28 | 99.86 | 96.69 |
| SampEn, LogEn, FuzzyEn | 98.89 | 99.76 | 98.02 |
| SampEn, FuzzyEn, PermEn | 98.98 | 99.78 | 98.17 |
| ApEn, LogEn, PermEn | 67.47 | 67.34 | 67.59 |
| ApEn, LogEn, FuzzyEn | 74.25 | 78.10 | 70.41 |
| LogEn, PermEn, FuzzyEn | 71.80 | 74.56 | 69.05 |
| PermEn, FuzzyEn, ApEn | 71.50 | 74.84 | 68.16 |
| Four features | |||
| SampEn, ApEn, FuzzyEn, PermEn | 98.54 | 99.27 | 97.81 |
| SampEn, ApEn, FuzzyEn, LogEn | 98.40 | 99.11 | 97.70 |
| SampEn, FuzzyEn, PermEn, LogEn | 99.43 | 99.89 | 98.96 |
| SampEn, LogEn, ApEn, PermEn | 98.33 | 99.12 | 97.55 |
| ApEn, FuzzyEn, PermEn, LogEn | 74.95 | 78.35 | 71.54 |
| Five features | |||
| SampEn, ApEn, FuzzyEn, LogEn, Perm | 99.50 | 99.70 | 99.30 |