Research Article
An ECG Signal Classification Method Based on Dilated Causal Convolution
Table 2
Summary of selected studies conducted for the automated detection of AF.
| Author, year | Method | Performance | Acc | Sen | Spe |
| Lake et al., 2011 [7] | Coefficient of sample entropy (COSEN) | ā | 91% | 98% | Asgari et al., 2015 [8] | Stationary wavelet transforms, support vector machine (SVM) | _ā | 97% | 97.1% | Zhou et al., 2014 [9] | Recursive algorithms | 97.67% | 96.89% | 98.25% | Acharya et al., 2017 [10] | CNNs | 94.9% | 99.13% | 81.44% | Andersen et al., 2018 [11] | CNNs-RNNs | 97.80% | 98.96% | 86.04% | Dang et al., 2019 [12] | Deep CNN-BiLSTM | 96.59% | 99.93% | 97.03% | Proposed | iDCCN | 98.65% | 98.79% | 99.04% |
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