Research Article
Real-Time Arrhythmia Classification Algorithm Using Time-Domain ECG Feature Based on FFNN and CNN
Table 12
Statistics of 5 arrhythmia classes for each patient on DS2.
| No. | | N | S | V | F | Q | Acc |
| 103 | (R) | 0.999 | 1.000 | — | — | — | 0.999 | (P) | 1.000 | 0.500 | — | — | — |
| 100 | (R) | 0.999 | 0.971 | 1.000 | — | — | 0.998 | (P) | 0.999 | 1.000 | 1.000 | — | — |
| 212 | (P) | 0.998 | — | — | — | — | 0.996 | (R) | 0.998 | 0.000 | 0.000 | — | — | … | … | … | … | … | … | … | … |
| 219 | (P) | 0.780 | 0.857 | 0.906 | 0.000 | — | 0.782 | (R) | 0.998 | 0.019 | 0.287 | — | — |
| 222 | (P) | 0.798 | 0.306 | — | — | — | 0.756 | (R) | 0.938 | 0.780 | 0.000 | — | — |
| 232 | (R) | 0.228 | 0.909 | 0.000 | — | — | 0.247 | (P) | 0.980 | 0.036 | — | — | — |
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