MATLAB Processing of ECG Data with Implementation Details

Recently, I encountered challenges while processing ECG data using MATLAB. To address these issues, I conducted extensive research and successfully implemented a solution for importing .dat and .hea files to generate electrocardiogram visualizations. The implementation involves a custom MATLAB script named fine.m that contains Chinese comments for documentation. The program utilizes file I/O operations to read waveform data from binary .dat files and header information from .hea files, implementing signal processing algorithms for ECG analysis. The default file path is configured as C:Documents and SettingsAdministratorMy Documentsmatlab. To execute the program, use the command: >>fine('62y933e.hea', '62y933e.dat', 9) where the final parameter (ranging from 1 to 12) specifies the lead channel selection for multi-channel ECG data processing. The algorithm handles data parsing, signal filtering, and visualization components to facilitate comprehensive ECG analysis. Through this debugging and implementation process, I aimed to develop a deeper understanding of ECG signal characteristics and enhance data analysis capabilities. The code incorporates functions for data normalization, noise reduction, and peak detection to ensure accurate ECG waveform representation.