Approach Based Lightweight Custom Convolutional Neural Network and Fine-Tuned MobileNet-V2 for ECG Arrhythmia Signals Classification
Arrhythmia detection in electrocardiogram (ECG) signals is a vital aspect of cardiovascular health monitoring.Current automated methods for arrhythmia classification often struggle to attain satisfactory performance in the detection of various heart conditions, particularly when dealing with imbalanced datasets.This study introduces a novel deep le