MATLAB Implementation of ECG Simulation with Algorithmic Details

This text discusses ECG simulation developed using MATLAB. Specifically, ECG simulation involves converting electrocardiogram data into digital signals for analysis and processing. This technology finds applications in various medical fields, including cardiac disease diagnosis and treatment, as well as pharmaceutical research. The implementation typically involves mathematical models like the McSharry-ECG model or Fourier series approximations to generate realistic ECG waveforms. Key MATLAB functions such as filter design tools (fir1, butter) for noise reduction and signal processing toolbox functions for waveform generation are commonly employed. It's noteworthy that advancements in ECG simulation technology have become a significant research direction in medical engineering, given its crucial role in improving human health and wellness. The code architecture generally includes signal generation modules, noise addition components to simulate real-world conditions, and analysis algorithms for feature extraction.