ECG Dataset for Heart Condition Classification

This ECG dataset comprises three distinct classes: normal, abnormal, and disease-specific cardiac signals. Collected from both healthy individuals and patients with heart conditions, the dataset provides labeled ECG recordings suitable for training machine learning models aimed at real-time health monitoring and cardiac disease prediction. Each class contains a balanced number of high-quality ECG images, offering a valuable resource for developing and evaluating AI-based diagnostic tools in healthcare.