Algorithm 2. The algorithm of two convolutional stages of TL-CCANet.
Input:	Raw Three-Lead Heartbeats $A_i^h, h=1,2, i=1,2,\dots ,N$
Output:	$f_i$
1:	Form ECG matrix $I_i^h$
2:	for the first convolutional stage do
3:	Form the three-lead pending matrices Xh
4:	Compute the covariance matrix $s_{ij}^h$ of $X_i^h$ and $X_j^h$
5:	Solve the CCA model by the Lagrange multiplier technique to obtain the three-lead project directions ah, h = 1, 2, 3 and bh, h = 1, 2, 3
6:	Construct three-lead filter banks $W_l^h$, h = 1,2, l = 1, 2, …, L1
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 three-lead pending matrices
11:	Compute the covariance matrix $s_{ij}^h$ of $Y_i^h$ and $Y_j^h$
12:	Solve the CCA model to obtain the three-lead project directions ch, h = 1, 2, 3 and dh, h = 1, 2, 3
13:	Construct three-lead filter banks $V_{\mathrm{𝓁}}^h, h=1,2,3, \mathrm{𝓁}=1,2,\dots ,L_2$
14:	Calculate the output of the second convolutional stage: $O_{i,l}={\{I_{i,l}^1\ast W_{\mathrm{𝓁}}^1, I_{i,l}^2\ast W_{\mathrm{𝓁}}^2, I_{i,l}^3\ast W_{\mathrm{𝓁}}^3\}}_{\mathrm{𝓁}=1}^{L_2}, l=1,2,3,\dots ,L_1$
15:	end for
16:	Compute the binarized images $\left\{H\left(I_{i,l}^1\ast W_{\mathrm{𝓁}}^1, I_{i,l}^2\ast W_{\mathrm{𝓁}}^2, I_{i,l}^3\ast W_{\mathrm{𝓁}}^3\right)\right\}$, l = 1, 2, 3, …, L1
17:	Compute the one decimal image $T_{i,l}={\sum }_{\mathrm{𝓁}}^{L_2}{2}^{\mathrm{𝓁}-1}H\left(I_{i,l}^1\ast W_{\mathrm{𝓁}}^1,I_{i,l}^2\ast W_{\mathrm{𝓁}}^2,I_{i,l}^3\ast W_{\mathrm{𝓁}}^3\right)$
18:	Construct the histogram vector fi