Prediction of Resting-state EEG Using High-dimensional Patterns


We cooperated with Prof. Ko (NCTU) and Taipei Veterans General Hospital to predict the resting-state EEG using high-dimensional patterns. Prediction of resting-state electroencephalography (EEG) using high-dimensional pattern is a challenge due to the uniqueness of each person’s brainwave. This study uses the headache EEG recording as the example, and predicts the informative different states by using an intelligent feature selection method.