ECG Signal Processing with MATLAB

This is a MATLAB source code implementation for ECG signal processing that enables comprehensive analysis, filtering, and feature extraction operations on electrocardiogram data. The program incorporates digital signal processing techniques including wavelet transforms for noise reduction, FIR/IIR filters for baseline wander removal, and peak detection algorithms for identifying QRS complexes. Researchers can utilize this code to extract clinically relevant features such as heart rate variability, ST-segment analysis, and arrhythmia detection through implemented pattern recognition methods. The modular architecture allows for easy customization and optimization of signal processing parameters to adapt to various research requirements and clinical applications. This source code provides medical researchers and clinicians with robust tools to leverage ECG data effectively, enabling more accurate cardiac health assessment and diagnostic capabilities through programmable analysis workflows. The implementation includes functions for signal preprocessing, feature calculation, and visualization modules that facilitate both automated analysis and interactive examination of cardiac rhythms.