Reading ECG, Blood Pressure, and Other Physiological Data Acquisition Files

This MATLAB implementation enables reading and visualization of physiological data from .dat and .hea files containing ECG, blood pressure, and other acquisition data. The software utilizes subplot annotation techniques for organized data presentation. The package includes comprehensive program documentation and practical reading examples that demonstrate key functions like WFDB (Waveform Database) toolbox integration for header file parsing and binary data extraction. The implementation features specialized functions for parsing .hea header files to obtain sampling frequencies, signal gains, and channel information, followed by efficient reading of corresponding .dat files using MATLAB's file I/O operations. Users can perform signal preprocessing, filtering, and analysis on the extracted data. The modular code structure allows for customization of visualization parameters and integration of additional analysis algorithms. Through MATLAB's robust data handling capabilities, researchers can efficiently access, process, and analyze these physiological signals, enabling advanced research applications and experimental flexibility. The solution supports common physiological data formats and provides a foundation for implementing custom signal processing pipelines including peak detection, heart rate variability analysis, and trend analysis capabilities.