• DocumentCode
    1344119
  • Title

    Extraction of 40 Hz EEG bursts for chaos analysis of brain function

  • Author

    Xiao, Di ; Yang, Hao ; Zhou, Shouchang

  • Author_Institution
    Dept. of Electron. Eng., Chongqing Univ., China
  • Volume
    16
  • Issue
    4
  • fYear
    1997
  • Firstpage
    27
  • Lastpage
    32
  • Abstract
    The authors describe the extraction of 40 Hz burst EEG activity in the face of electromyogram (EMG) noise. Extraction is done using time- and frequency-domain analysis, with a neural network to automate the task. The data are then analyzed using chaos theory to show how the 40 Hz activity can be used to recognize differences in cognitive states
  • Keywords
    chaos; electroencephalography; frequency-domain analysis; medical signal processing; neural nets; time-domain analysis; 40 Hz; 40 Hz EEG bursts extraction; EMG; brain function chaos analysis; chaos theory; cognitive states differences recognition; data extraction; electrodiagnostics; electromyogram noise; neural network EEG analysis; Biological neural networks; Biomedical engineering; Chaos; Electroencephalography; Electromyography; Fourier transforms; Frequency domain analysis; Interference; Shape; Time domain analysis;
  • fLanguage
    English
  • Journal_Title
    Engineering in Medicine and Biology Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0739-5175
  • Type

    jour

  • DOI
    10.1109/51.603645
  • Filename
    603645
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1344119