SSVEP EEG Analysis and Evaluation System

The SSVEP EEG Analysis and Evaluation System enables comprehensive analysis of electroencephalography data through a MATLAB-based graphical user interface. The system implements automated EEG data classification and scoring algorithms, utilizing signal processing techniques such as Fast Fourier Transform (FFT) for frequency domain analysis and template matching for SSVEP response detection. This system supports various application scenarios including brain-computer interfaces and human-computer interaction research. Key functions include data preprocessing filters, feature extraction modules, and statistical evaluation components that calculate accuracy metrics. Through this system, researchers can efficiently analyze EEG data with improved precision, enhancing both research productivity and data analysis reliability. The GUI implementation provides intuitive controls for parameter adjustment, real-time visualization of results, and batch processing capabilities for multiple datasets.