Eeg Signal Classification

Classifying EEG signals refers to the analysis of electroencephalogram data and the use of machine learning algorithms to identify different patterns of brain waves, achieving precise differentiation of brain activity states. The aim is to improve the accuracy and efficiency of signal processing, providing strong support for neuroscience, psychology, and clinical medicine. This technology has significant application value in areas such as epilepsy monitoring, sleep disorder diagnosis, and brain-computer interface development.