MIT-BIH ECG Database Reader Implementation
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Expanding upon user requirements, I will develop and document a comprehensive solution for reading MIT-BIH ECG database files. The original MIT format is incompatible with MATLAB's native data processing capabilities, necessitating a specialized conversion methodology.
The implementation involves developing a parser that converts MIT-BIH header files (.hea) and binary data files (.dat) into MATLAB-compatible structures. Key functions include waveform data extraction, signal scaling based on header information, and timestamp synchronization. The algorithm employs binary file reading techniques with proper byte ordering handling, followed by signal normalization using gain parameters specified in the header metadata. This conversion enables direct ECG signal processing, feature extraction, and machine learning applications within MATLAB's computational environment.
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