Table 1.

Classification model architectures of a CNN with 1 × 5 kernel Stage 1.

Group Name	Input Size Output Size	Block Structure (Kernel Size, Number)	Block Numbers (113-Layers)
Stage 0	1 × 64	1$\times$5, 16	1
Stage 1	1$\times$64 1$\times$32	1$\times$1, 16	1
		1$\times$5, 16
		1$\times$1, 16
Stage 2	1$\times$32 1$\times$32	1$\times$1, 16	12
		1$\times$3, 16
		1$\times$1, 64
Stage 3	1$\times$32 1$\times$16	1$\times$1, 32	12
		1$\times$3, 32
		1$\times$1, 128
Stage 4	1$\times$16 1$\times$8	1$\times$1, 64	12
		1$\times$3, 64
		1$\times$1, 256
Average pooling	1$\times$8 1$\times$256	1$\times$8	1
Fully connected layer	1$\times$256 Classes number		1