ECG Signal Data with MATLAB Implementation

This project package includes ECG signal datasets along with MATLAB source code implementation. This is my graduation project work, which has undergone comprehensive testing and demonstrates stable operation.

During the development process, I considered multiple factors including data acquisition methodologies, signal processing techniques, and result analysis frameworks. The code incorporates digital filtering algorithms for noise reduction, peak detection functions for QRS complex identification, and signal visualization tools. To ensure code reliability and accuracy, I performed iterative testing cycles and optimization procedures, including validation against standard ECG databases.

Through this project, I gained deep understanding of ECG signal processing principles and methodologies, while significantly enhancing my programming skills and problem-solving capabilities. The implementation covers key aspects such as signal preprocessing, feature extraction, and arrhythmia detection algorithms.

Looking forward, I aim to further research and apply advanced ECG signal processing technologies, particularly in developing machine learning-based classification systems, to contribute more substantially to the medical field.