Effects of Data Augmentation with the BNNSMOTE Algorithm in Seizure Detection Using 1D-MobileNet

Table 1

Detailed network parameters of the model.

Input	Operator	t	c	n	s
1024 × 1	Conv1d	—	32	1	1
512 × 32	Bottleneck	1	16	1	1
512 × 16	Bottleneck	6	24	2	2
256 × 24	Bottleneck	6	32	3	2
128 × 32	Bottleneck	6	64	4	2
64 × 64	Bottleneck	6	96	3	1
64 × 96	Bottleneck	6	160	3	2
32 × 160	Bottleneck	6	320	1	1
32 × 320	Conv1d 1 × 1	—	1280	1	1
32 × 1280	Avg pool 1d	—	—	1	—
1 × 1280	Linear	—	2	—	—