Several Useful Algorithm Programs for Feature Extraction in EEG Processing
This collection includes several practical algorithm implementations for EEG feature extraction, including wavelet entropy, Lempel-Ziv complexity (LZC) for EEG complexity analysis, and mutual information methods. All programs have been personally tested and verified to work correctly, providing researchers with reliable tools for EEG feature extraction. The implementation incorporates MATLAB-based signal processing techniques with proper parameter optimization for biomedical signal analysis.