Debugged and Verified QRS Detection Algorithm

I have developed a debugged and verified QRS detection algorithm using MATLAB. This implementation incorporates signal-to-noise ratio (SNR) estimation and employs a slope detection algorithm with adaptive threshold prediction. The algorithm efficiently identifies QRS complexes in electrocardiogram (ECG) signals, assisting medical professionals in cardiac disease diagnosis and treatment. The design methodology involves comprehensive ECG signal analysis and processing techniques to achieve accurate QRS detection. During development, I considered various signal characteristics and implemented multiple mathematical models and algorithms for signal processing and analysis. The core implementation includes functions for signal preprocessing, slope calculation using difference operations, dynamic threshold adjustment based on noise levels, and peak detection logic. After thorough debugging and validation, the algorithm demonstrates high accuracy and reliability. Future enhancements will focus on optimizing performance and expanding applicability to diverse ECG signal types.