EDF and REC EEG Data Reader for European Format Brainwave Signals

This program provides robust functionality for reading European format .edf and .rec files. The .edf format (European Data Format) is a widely-used biomedical data standard that supports multiple channels for recording various physiological signals including electrocardiogram (ECG) and electroencephalogram (EEG) data. The .rec format is specifically designed for EEG data recording, making this program particularly suitable for brainwave signal processing with efficient data parsing algorithms. The implementation includes advanced features such as automatic channel detection, sample rate validation, and timestamp synchronization when reading these file formats. For data preprocessing, the program incorporates digital filtering techniques (e.g., bandpass filtering for noise reduction) and signal normalization methods. The analysis module supports feature extraction algorithms including Fourier transforms for frequency domain analysis and event detection routines for identifying EEG patterns. Visualization capabilities include multi-channel waveform display with customizable time scales, spectral density plots, and topographic mapping functions for spatial EEG analysis. The program architecture utilizes optimized memory management for handling large datasets and provides API interfaces for integration with popular data analysis platforms. Overall, this program serves as a comprehensive, user-friendly tool for biomedical data processing and analysis, featuring intuitive data navigation controls and export functionality for multiple standard formats including MATLAB-compatible files and CSV outputs.