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
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;
Journal_Title :
Engineering in Medicine and Biology Magazine, IEEE
