Patient-Specific Deep Architectural Model for ECG Classification

Figure 7

Heartbeat classification results by patient-specific models with different parameters. The best results of SVEB and VEB classification from other works in Table 4 are shown as benchmarks; the best results of the proposed models are marked by asterisks. A~G represent the sizes of the first hidden layer which are 64, 128, 256, 512, 1024, 2048, and 4096, and the number of neurons of the next layer was set as half of the current layer if SDA is a multilayer structure.