MATLAB Implementation for ECG Signal Detection with Algorithmic Processing

This is a highly effective ECG signal detection program implemented in MATLAB, designed to accurately analyze and detect electrocardiogram signals. The program incorporates several key algorithmic components including digital filtering for noise reduction, QRS complex detection using peak-finding algorithms, and heart rate variability analysis. Users can efficiently utilize this program to extract vital ECG signal information through interactive GUI components or command-line functions. The implementation features adaptive thresholding for peak detection and wavelet transform techniques for signal denoising. This practical ECG detection tool is an excellent choice for researchers and medical professionals requiring robust cardiac signal analysis, offering modular code structure that allows easy customization of detection parameters and algorithm thresholds. The program includes features for signal visualization, artifact removal, and export capabilities for further analysis.