Title :
Classification of schizophrenia´s EEG based on high order pattern discovery
Author :
Zhang Sheng ; Shini, Qiao ; Wang Wei
Author_Institution :
Coll. of Math., Phys. & Inf. Eng., Zhejiang Normal Univ., Jinhua, China
Abstract :
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.
Keywords :
diseases; electroencephalography; medical signal processing; neurophysiology; signal classification; EEG; frontal polar region; high order pattern discovery; occipital region; schizophrenia; temporal region; Accuracy; Electroencephalography; Geology; Manuals; Pathology; Classification; EEG; Pattern Discovery; Schizophrenia;
Conference_Titel :
Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010 IEEE Fifth International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-6437-1
DOI :
10.1109/BICTA.2010.5645097
