Multi-Class Arrhythmia Classification from ECG Signals Using Deep Learning
Arrhythmias pose a serious health risk, and healthcare professionals require reliable, immediate methods to detect irregular heartbeats. This study evaluates the capacity of machine learning models—specifically Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and k-Nearest Neighbors (k-NN)—to rec...