Table 3 The comparision of Acc for others models in MIT-BIH Arrhythmia dataset.

From: ECG autoencoder based on low-rank attention

Literatures

Method

Acc

Hou et al17

Two-stream Network

0.993

Guo et al18

–

0.996

Javid Farhadi et al19

Stacked Auto Encoders

0.955

Aryan Odugoudar et al20

CNN

0.978

Guang Jun Nicholas Ang et al21

YOLOv8n

0.989

Md Shofiqul Islam et al22

HARDC

0.990

Che Liu et al23

SCDNN

0.990

Negin Alamatsaz et al24

1D-CNN+LSTM

0.982

Md Rabiul Islam et al25

Convolution+Attention+Transformer

0.995

Muhamad Akbar et al26

1D-CNN

0.992

Jutao Wang et al27

CNN

0.991

Ours

LRA-autoencoder

0.997