Classification of schizophrenia's EEG based on high order pattern discovery
Sheng Zhang, Qiao Shini, Wei Wang · 2010
The high order pattern discovery algorithm is applied to classify schizophrenia and health's EEG signals. Samples of 780 schizophrenia and health EEG pieces are classified. The result shows that the classification accuracy can achieve 90% in 6-order. The 6-orders are associated with frontal polar, temporal and occipital regions.