ECG R-Point Detection Algorithm

This MATLAB program is designed to automatically detect R-peaks in electrocardiogram (ECG) data, which are critical points representing ventricular depolarization in cardiac cycles. The implementation utilizes signal processing techniques including bandpass filtering to remove noise, differentiation for slope detection, and threshold-based algorithms to identify prominent R-wave peaks. For medical professionals and researchers, this tool enables precise ECG analysis by automatically locating R-points, facilitating heart rate calculation, arrhythmia detection, and cardiac health monitoring. The algorithm processes raw ECG signals through multiple stages: preprocessing with Butterworth filters to eliminate baseline wander and power line interference, followed by peak detection using amplitude and temporal criteria. The modular code structure allows for easy integration of additional features such as P-wave and T-wave detection, QT interval measurement, or automated ECG report generation. Key MATLAB functions employed include filter design (butter, filtfilt), signal differentiation (diff), and peak finding (findpeaks) with customizable parameters for different ECG signal characteristics. As an extensible MATLAB solution, this program serves as a fundamental tool for cardiovascular research and clinical ECG analysis, with potential adaptations for real-time monitoring systems and advanced cardiac diagnostics.