MATLAB-Based EEG Signal Interface Program with Wavelet Decomposition for Rhythm Extraction

The author has developed an EEG signal interface program using MATLAB. This program employs wavelet decomposition methodology to extract rhythmic components from EEG signals. Through extensive research and experimentation, the author designed an effective algorithm that accurately captures rhythm information based on the characteristic patterns of EEG signals. The implementation likely involves MATLAB's Wavelet Toolbox functions such as wavedec for multi-level decomposition and wrcoef for rhythm reconstruction. This program holds significant importance for in-depth study and research of EEG signal properties and functionalities. By analyzing and interpreting the rhythmic patterns in EEG signals, we can better understand signal variations and characteristics, providing robust support for EEG signal applications and research. The algorithm potentially includes parameter optimization for mother wavelets like db4 or sym8 and threshold setting for noise reduction in rhythm extraction processes.