• DocumentCode
    2138888
  • Title

    Higher wavelet entropy in the EEG with mild cognitive impairment patients

  • Author

    Ling Wei ; Tuo Yan ; Yingjie Li ; Qing Xue ; Yuping Wang

  • Author_Institution
    Sch. of Commun. & Inf. Eng., Shanghai Univ., Shanghai, China
  • fYear
    2012
  • fDate
    16-18 Oct. 2012
  • Firstpage
    541
  • Lastpage
    544
  • Abstract
    In this study, 8 elderly mild cognitive impairment (MCI) patients and 17 normal controls participated in a cognition task during which they were asked to judge whether the color of two graphics is matched or not. We calculated the wavelet entropy (WE) of the event-related EEG signal to explore the difference of complexity between MCI patients and normal controls. The results revealed that 1) MCI patients had a higher disordered bioelectric activity at medial-center, medial-posterior and right-posterior than the normal controls; 2) greater entropy was found in anterior brain compared with other two regions in normal controls in medial hemisphere. While the MCI patients had the smallest entropy in anterior brain in right hemisphere under the match task; 3) The normal controls had higher entropy in medial-anterior and the MCI patients had lower entropy in right-anterior during the color-match task.
  • Keywords
    bioelectric phenomena; cognition; electroencephalography; entropy; medical disorders; neurophysiology; wavelet transforms; MCI patients; anterior brain; cognition task; color-match task; event-related EEG signal; high disordered bioelectric activity; medial hemisphere; medial-anterior area; medial-posterior area; mild cognitive impairment patient; right hemisphere; right-posterior area; wavelet entropy; EEG; MCI; disorder; order; wavelet entropy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Informatics (BMEI), 2012 5th International Conference on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4673-1183-0
  • Type

    conf

  • DOI
    10.1109/BMEI.2012.6513194
  • Filename
    6513194