An Overview of Generative Models for EEG Signal Processing
摘要
In medical science, EEG data is often analyzed by doctors to detect diseases and to observe brain activity under stimuli. Over the years, researchers have attempted to use machine learning algorithms for the classification and analysis of EEG signals. This paper is a study of different methods, ranging from machine learning to deep learning that have been used for EEG signal processing.