ECG Filtering Implementation Using MATLAB GUI Interface

This project implements interactive ECG filtering visualization using MATLAB's GUI interface. To achieve this objective, we utilize MATLAB's Signal Processing Toolbox for ECG filtering operations. The implementation involves creating interactive controls within the GUI interface, allowing users to dynamically observe filtered ECG waveforms. This approach enables users to intuitively understand how different filtering techniques affect the original ECG signal. Key implementation aspects include using MATLAB's filter design functions (such as butter, cheby1, or fir1) to create various filter types (low-pass, high-pass, band-pass) appropriate for ECG signals. The GUI components are developed using App Designer or GUIDE, incorporating interactive elements like sliders for cutoff frequency adjustment and dropdown menus for filter type selection. Real-time visualization is achieved through MATLAB's plotting functions, displaying both raw and filtered ECG signals simultaneously for comparison. This methodology provides a user-friendly interface that makes ECG filtering operations more flexible and accessible. Users can experiment with different filter parameters and immediately observe the effects on signal quality, facilitating better understanding of digital signal processing concepts in biomedical applications. The system also includes error handling for invalid parameter inputs and maintains original signal integrity throughout the filtering process.