ECG Signal QRS Complex Feature Extraction Using Differential Threshold Method

This MATLAB program performs QRS complex feature extraction from ECG signals using the differential threshold method. The algorithm calculates signal differential thresholds to identify characteristic QRS complex patterns. Prior to feature extraction, the ECG signal undergoes essential preprocessing stages including digital filtering and noise removal techniques. The implementation typically involves signal differentiation to enhance QRS complexes, followed by threshold-based peak detection algorithms. Key functions may include signal differentiation using diff() function, moving average filtering for noise reduction, and adaptive threshold calculation for robust peak detection. After successful feature extraction, the program enables further analysis and identification of cardiac abnormalities such as arrhythmias. This tool assists medical professionals and researchers in better understanding and analyzing ECG signals, thereby supporting more accurate diagnosis and treatment planning.