Independent Reading of MIT-BIH ECG Database Files with Python Implementation
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Resource Overview
This Python-based solution enables separate parsing of MIT-BIH ECG database header files, dat files, and annotation files, specifically designed for the 212 storage format. The package includes test files for validation and demonstrates practical implementation using key Python libraries for biomedical signal processing.
Detailed Documentation
Using Python programming language, you can efficiently parse MIT-BIH ECG database files by implementing separate handlers for header files (.hea), dat files (.dat), and annotation files (.atr). This implementation specifically supports the 212 storage format, which utilizes two channels of ECG data stored in 212 format - where each sample pair is packed into three bytes. The solution includes test files that demonstrate proper file reading techniques using Python's built-in file I/O operations and struct module for byte-level data unpacking. Key functions involve reading header information to determine signal specifications, extracting raw ECG samples from dat files using appropriate byte decoding algorithms, and processing annotation files for heartbeat classification markers. The code structure ensures modular handling of different file types while maintaining data synchronization across all components.
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