DocumentCode :
573215
Title :
Time-varying bispectral analysis of auditory evoked multi-channel scalp EEG
Author :
Chandran, Vinod
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Queensland Univ. of Technol., Brisbane, QLD, Australia
fYear :
2012
fDate :
2-5 July 2012
Firstpage :
205
Lastpage :
212
Abstract :
Time-varying bispectra, computed using a classical sliding window short-time Fourier approach, are analyzed for scalp EEG potentials evoked by an auditory stimulus and new observations are presented. A single, short duration tone is presented from the left or the right, direction unknown to the test subject. The subject responds by moving the eyes to the direction of the sound. EEG epochs sampled at 200 Hz for repeated trials are processed between -70 ms and +1200 ms with reference to the stimulus. It is observed that for an ensemble of correctly recognized cases, the best matching time-varying bispectra at (8 Hz, 8Hz) are for PZ-FZ channels and this is also largely the case for grand averages but not for power spectra at 8 Hz. Out of 11 subjects, the only exception for time-varying bispectral match was a subject with family history of Alzheimer´s disease and the difference was in bicoherence, not biphase.
Keywords :
auditory evoked potentials; electroencephalography; medical signal processing; Alzheimer´s disease; auditory evoked multi-channel scalp EEG potentials; auditory stimulus; classical sliding window short-time Fourier approach; short duration tone; time-varying bispectral analysis; Diseases; Electrodes; Electroencephalography; Equations; Noise; Scalp; Spectral analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science, Signal Processing and their Applications (ISSPA), 2012 11th International Conference on
Conference_Location :
Montreal, QC
Print_ISBN :
978-1-4673-0381-1
Electronic_ISBN :
978-1-4673-0380-4
Type :
conf
DOI :
10.1109/ISSPA.2012.6310547
Filename :
6310547
Link To Document :
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