Research Article
Assessment of Electrocardiogram Rhythms by GoogLeNet Deep Neural Network Architecture
Table 10
Classification results compared with the state-of-the-art PVC and APC heartbeats in terms of Acc, Se, Sp, and Pp (percentage, %).
| Method | PVC | APC | Acc | Se | Sp | Pp | Acc | Se | Sp | Pp |
| Ince et al. [26] | 98.3 | 84.6 | 98.7 | 87.4 | 97.4 | 63.5 | 99 | 53.7 | Kiranyaz et al. [18] | 99 | 93.9 | 98.9 | 90.6 | 97.6 | 60.3 | 99.2 | 63.5 | Zhang et al. [19] | 99.7 | 97.1 | 99.9 | 98.1 | 99.3 | 85.9 | 99.7 | 88.7 | Luo et al. [25] | 95.5 | 60.4 | 97.9 | 66.8 | 96.2 | 15.4 | 99.3 | 47.3 | Proposed | 98.64 | 98.40 | 98.70 | 94.90 | 98.31 | 88.75 | 99.40 | 94.40 |
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