ECG-Based Multiclass Arrhythmia Classification Using Beat-Level Fusion Network

Table 6

Comparison of the number of parameters of previous works and the proposed BLF-Net.

Models	The number of parameters
Inception1d^1	507653
Resnet1d_wang^1	473349
Fcn_wang^1	309765
Xresnet1d101^1	3642501
Ours	569373

¹These models are stated in detail in [45].