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

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3 Author(s)
Di Xiao ; Dept. of Electron. Eng., Chongqing Univ., China ; Hao Yang ; Shouchang Zhou

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

Published in:

Engineering in Medicine and Biology Magazine, IEEE  (Volume:16 ,  Issue: 4 )