• DocumentCode
    3227663
  • 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
  • fYear
    2010
  • fDate
    23-26 Sept. 2010
  • Firstpage
    1147
  • Lastpage
    1149
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • 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
  • Type

    conf

  • DOI
    10.1109/BICTA.2010.5645097
  • Filename
    5645097
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3227663