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Table 8 CNN parameters of the convolution layers and the pooling layers

From: Attention-based multi-scale features fusion for unobtrusive atrial fibrillation detection using ballistocardiogram signal

Layer number

Number of convolution kernels

Kernel size

1

32

\(9 \times 1\)

2

32

\(9 \times 1\)

3

3

\(3 \times 1\)

4

64

\(9 \times 1\)

5

64

\(9 \times 1\)

6

3

\(3 \times 1\)

7

128

\(9 \times 1\)

8

128

\(9 \times 1\)

9

3

\(3 \times 1\)

10

256

\(9 \times 1\)

11

256

\(9 \times 1\)

12

3

\(3 \times 1\)