Research Article
Assessment of Electrocardiogram Rhythms by GoogLeNet Deep Neural Network Architecture
Table 4
Accuracy of arrhythmia classification by the expanded kernel model with increasing number of filters.
| Number of filters | ECG segments (%) | Mean accuracy (%) | 3 | 4 | 5 | 6 | 7 |
| 1 | 95.1 | 94.4 | 92.7 | 92.4 | 94.1 | 93.7 | 3 | 95.6 | 95.1 | 95.6 | 93.8 | 94.5 | 94.9 | 5 | 96.4 | 95.5 | 95.1 | 94.8 | 94.4 | 95.2 | 7 | 96 | 95.8 | 95.6 | 94.7 | 94.4 | 95.3 | 9 | 96.2 | 96.1 | 95.9 | 94.8 | 95.3 | 95.7 | 11 | 96.1 | 95.7 | 96 | 95.6 | 94.8 | 95.7 | 13 | 96.5 | 96.1 | 95.5 | 95.4 | 95.1 | 95.7 | 15 | 96.4 | 96.3 | 96.1 | 95.5 | 94.7 | 95.8 | 17 | 96.7 | 96.1 | 96.3 | 95.6 | 95.6 | 96.0 | 19 | 96.5 | 96 | 96.2 | 95.6 | 95.1 | 95.9 | Mean accuracy (%) | 96.2 | 95.7 | 95.5 | 94.8 | 94.8 | ā |
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