Real-time QRS Complex Detection Code and Interface for ECG Signals

This documentation covers the implementation of real-time QRS complex detection code and interface for electrocardiogram (ECG) signal analysis. We detail the complete process of QRS complex detection using specialized signal processing algorithms that typically involve digital filtering, derivative calculations, and threshold-based peak detection. The algorithm implementation incorporates band-pass filtering to eliminate baseline wander and high-frequency noise, followed by slope detection methods to identify QRS characteristics. The user interface component provides real-time visualization of ECG waveforms with marked QRS complexes, allowing for immediate feedback and analysis. This real-time detection system enables comprehensive understanding and interpretation of cardiac signals, which is crucial for cardiovascular disease research and clinical patient diagnosis. We will thoroughly explain the algorithm's mathematical foundation, signal processing workflow, and code implementation details including key functions for signal preprocessing, feature extraction, and detection validation. This documentation aims to provide complete technical information about real-time QRS complex detection for both research and practical applications.