EEG Signal Analysis MATLAB Toolbox

This document presents a MATLAB toolbox designed for electroencephalogram (EEG) signal analysis, serving as an indispensable tool for signal processing tasks with particular suitability for biomedical signal processing applications. EEG signal analysis constitutes a vital research domain involving the processing and interpretation of brain electrical signals to understand neural activities and cognitive processes. The MATLAB EEG analysis toolbox provides comprehensive functionalities and algorithms, enabling researchers to process and analyze EEG data more effectively to obtain precise and detailed results. The toolbox implements key signal processing techniques including preprocessing filters (bandpass/notch filtering), feature extraction methods (time-frequency analysis, wavelet transforms), and statistical analysis modules. For research ranging from fundamental studies to applied investigations, this toolbox proves essential. Its applications extend beyond biomedical signal processing to interdisciplinary fields such as neuroscience, psychology, and engineering. For researchers specializing in signal processing and EEG analysis, mastering this toolbox is crucial. It offers user-friendly implementation with powerful capabilities for rapid and accurate EEG data analysis, complemented by extensive visualization features for result interpretation. The toolbox architecture supports modular function integration, allowing custom algorithm implementation through MATLAB's scripting environment. In summary, the EEG Signal Analysis MATLAB Toolbox represents a highly valuable resource that facilitates deeper understanding and investigation of brain electrical signals, thereby advancing progress in brain science and medical research.