GENERATION OF SYNTHETIC ECG SIGNALS

Abstract

In this project we developed a dynamic representation of a single ECG cycle, broken down into its distinct components: the P wave, PQ segment, QRS complex, ST segment, and T wave. Each segment was generated using a method that combines trigonometric functions, linear interpolation and piecewise construction to ensure physiological accuracy. Additionally, we created animated 12-lead ECG signals, as well as animations for tachycardia (100 ECG cycles per minute) and bradycardia (60 ECG cycles per minute). The dynamic visualization of these ECG signals offers a powerful tool for understanding the electrical activity of the heart. By accurately simulating both normal and abnormal heart rhythms, our dynamic plots provide valuable insights for educational and research purposes. The real-time construction of each component enhances learning by providing an interactive and engaging study method. This approach not only facilitates a controlled and reproducible means of generating ECG signals but also serves as an effective resource for teaching, algorithm development, and testing ECG monitoring devices.