ECG Signal Analysis Using MATLAB with GUI Implementation

This MATLAB-based application enables comprehensive analysis of electrocardiogram (ECG) signals through a programmatically designed interface. The implementation includes a user-friendly graphical user interface (GUI) built using MATLAB's App Designer or GUIDE framework, facilitating seamless navigation and control over analytical functions. Key algorithmic components incorporate digital signal processing techniques such as FIR/IIR filtering for noise reduction, wavelet transform for multi-resolution analysis, and Pan-Tompkins algorithm for QRS complex detection. The system supports multiple analytical dimensions including time-domain signal processing, frequency spectrum analysis via FFT algorithms, and feature extraction routines for identifying P-waves, T-waves, and ST segments. Customization capabilities allow parameter adjustment through GUI controls and modular function modifications. The program generates detailed analytical reports incorporating signal statistics, morphological features, and graphical representations using MATLAB's plotting functions. This robust implementation combines mathematical computations with interactive visualization, providing researchers with an integrated environment for advanced ECG signal investigation and clinical research applications.