Title :
Coherence analysis of EEG via multichannel AR modeling
Author :
Grewal, M. ; Ning, T. ; Bronzino, J.D.
Author_Institution :
Dept. of Eng. & Comput. Sci., Trinity Coll., Hartford, CT, USA
Abstract :
The multichannel autoregressive model and the periodogram approach are used to determine coherence and phase measures between the electrical activity in two distinct brain structures of the rat namely, the subfields CA1 and dentate gyrus in the hippocampal formation, during the vigilance states of quiet waking (QW), slow-wave sleep (SWS), and rapid-eye-movement (REM) sleep. Using both periodogram and multichannel autoregressive modeling techniques, high coherence and consistent phase differences were found to exist within the theta range of frequencies (4-11 Hz) only during REM sleep
Keywords :
electroencephalography; physiological models; 4 to 11 Hz; EEG coherence analysis; brain structures; dentate gyrus; electrical activity; hippocampal formation; multichannel autoregressive model; periodogram; phase; quiet waking; rapid-eye-movement sleep; rat; slow-wave sleep; Brain modeling; Calibration; Coherence; Covariance matrix; Electroencephalography; Equations; Fast Fourier transforms; Frequency estimation; Phase measurement; Uncertainty;
Conference_Titel :
Bioengineering Conference, 1988., Proceedings of the 1988 Fourteenth Annual Northeast
Conference_Location :
Durham, NH
DOI :
10.1109/NEBC.1988.19397
