Research Article
ResNet-50 for 12-Lead Electrocardiogram Automated Diagnosis
Table 3
Results obtained by different research in relation to the proposed work.
| Author | Year | Number of records | Model | Preprocessing | Number of classes | Accuracy (%) | Precision (%) |
| Antonio et al. [34] | 2020 | 2,322,513 | DNN | No | 6 | | 92.36 | Ahsanuzzman et al. [35] | 2020 | 48 | LSTM and RNN | Yes | 1 | 97.57 | | Obeidat et al [36] | 2021 | 2000 | CNN and LSTM | Yes | 6 | 98.22 | 98.26 | Adedinsewo et al. [38] | 2020 | 6613 | CNN | No | 1 | 85.9 | 74 | Xiong et al. [39] | 2020 | 8528 | ResNet-16 | Yes | 4 | 82 | | Dongdong et al. [19] | 2021 | 6877 | ResNet-34 | Yes | 9 | 96.6 | | Proposed work | 2021 | 42,511 | ResNet-50 | Yes | 27 | 97.63 | 89.67 |
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