Figure 5.The architecture of the proposed CNN model. We used ResNet-50 uniting a mixed “attention” module (the Squeeze-and-Excitation module) as backbone architecture to extract useful features from the input ECG raw data. Abbreviations: ConV: Convolution; BN: Batch Normalization; Relu: Rectified Linear Units.
