ECG Signal Extraction and Visualization Plotting

Following the requirements, we can extract ECG signals from txt files and save the processed signals into a new txt file. The implementation typically involves reading raw data using file input functions (like fopen and fscanf in MATLAB), applying signal processing techniques to isolate ECG components, and writing clean data using output functions (fprintf). Simultaneously, we visualize the extracted ECG signals through graphical plots, enabling users to observe and analyze the data effectively. The plotting functionality incorporates interactive range selection features, allowing users to zoom into specific intervals for detailed examination of particular signal segments - this can be implemented using MATLAB's xlim function or similar range-control mechanisms. For comprehensive learning and discussion, the compressed package contains not only the complete source code but also detailed experimental reports documenting the signal processing methodology, algorithm selection rationale, and validation results. Through study and exploration, users can gain deeper understanding of ECG signal extraction and processing techniques, which can be applied to practical projects. We hope these materials prove beneficial for your research and development endeavors!