Research Article

A Deep Neural Network Ensemble Classifier with Focal Loss for Automatic Arrhythmia Classification

Table 7

Classification performance results of our method and 6 advanced methods.

WorkAccClass (N)Class (S)Class (V)
Sen (%)+P (%)Spe (%)Sen (%)+P (%)Spe (%)Sen (%)+P (%)Spe (%)

DeChazal (2004)85.8899.1686.8694.0038.5375.9495.3581.5977.7498.78
Garcia (2017)92.3893.9997.9582.5561.9652.9697.8987.3459.4495.91
Takalo-mattila (2018)89.9191.8997.0076.8362.4955.8698.1189.2350.8594.02
Sellami (2019)88.3488.5298.891.382.0430.4492.892.0572.1397.54
Jinghao Niu (2020)95.8798.2897.3978.6977.3573.2998.9285.0891.7599.47
Yuanlu Li (2021)88.9994.5493.3380.835.2265.8898.8388.3579.8694.92
Our methods91.8993.1598.1886.0080.2349.4096.8590.9983.0998.72