Algorithm 1. The algorithm of two convolutional stages of the DL-CCANet.
Input:	Raw Two-Lead Heartbeats $A_i^h, h=1,2, i=1,2,\dots ,N$
Output:	fi
1:	Form ECG matrix $I_i^h$
2:	for the first convolutional stage do
3:	Form the two-lead pending matrices Xh
4:	Compute the covariance matrix sij of Xi and Xj
5:	Solve the CCA model by the Lagrange multiplier technique to obtain the two-lead project directions a, b
6:	Construct two-lead filter banks $W_l^h, h=1,2, l=1,2,\dots ,L_1$
7:	Calculate the preliminary feature blocks of the first convolutional stage $I_{i,l}^h=I_i^h\ast W_l^h$
8:	end for
9:	for the second convolutional stage do
10:	Form the two-lead pending matrices
11:	Compute the covariance matrix sij of Yi and Yj
12:	Solve the CCA model to obtain the two-lead project directions c, d
13:	Construct two-lead filter banks $V_{\mathrm{𝓁}}^h, h=1,2, \mathrm{𝓁}=1,2,\dots ,L_2$
14:	Calculate the output of the second convolutional stage: $o_{i,l}={\{I_{i,l}^1\ast W_{\mathrm{𝓁}}^1,I_{i,l}^2\ast W_{\mathrm{𝓁}}^2\}}_{\mathrm{𝓁}=1}^{L_2}, l=1,2,\dots ,L_1$
15:	end for
16:	Compute the binarized images $o_{i,l}={\{H(I_{i,l}^1\ast W_{\mathrm{𝓁}}^1,I_{i,l}^2\ast W_{\mathrm{𝓁}}^2)\}}_{\mathrm{𝓁}}^{L_2}{L}_1$
17:	Compute the one decimal image $T_{i,l}={\sum }_{\mathrm{𝓁}}^{L_2}{2}^{\mathrm{𝓁}-1}H(I_{i,l}^1\ast W_{\mathrm{𝓁}}^1,I_{i,l}^2\ast W_{\mathrm{𝓁}}^2)$
18:	Construct the histogram vector fi