ECG Classification for Detecting ECG Arrhythmia Empowered with Deep Learning Approaches

Table 2

Pseudocode of the proposed CAA-TL model.

1	Start
2	Input ECG data from kaggle
3	Augmented data
4	ECG preprocess data
5	Load data & pre-trained (transfer learning) model
6	Trained model using transfer learning (AlexNet, SqueezeNet, and ResNet50) for ECG classification
7	Validation phase for ECG classification for unknown images
8	Compute the performance and accuracy of the proposed model
9	Stop