Time-frequency distributions of subdural EEG at epileptic seizure onset

A high-frequency signal occurring at epileptic seizure onset is investigated using time-frequency methods. This signal is extracted from the background activity by repeated forward and inverse Gabor transformations. The generation sites of this signal are determined by displaying the average signal power values with a 3-D anatomical image obtained from MRI scans.

[1]  W. J. Williams,et al.  Cross Time-frequency Representation Of Electrocorticograms In Temporal Lobe Epilepsy , 1991 .

[2]  S Blanco,et al.  Applying time-frequency analysis to seizure EEG activity. , 1997, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.

[3]  W. J. Williams,et al.  Time-frequency representation of electrocorticograms in temporal lobe epilepsy , 1992, IEEE Transactions on Biomedical Engineering.

[4]  Shie Qian.  An iterative algorithm for time-variant filtering in the discrete Gabor transform domain , 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[5]  R. Fisher,et al.  High-frequency EEG activity at the start of seizures. , 1992, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.

[6]  L. E. White,et al.  High-frequency components in epileptiform EEG , 1989, Journal of Neuroscience Methods.

[7]  S. Qian,et al.  Joint time-frequency analysis , 1999, IEEE Signal Process. Mag..

[8]  F. Hlawatsch,et al.  Linear and quadratic time-frequency signal representations , 1992, IEEE Signal Processing Magazine.

[9]  Robert J. Marks,et al.  The use of cone-shaped kernels for generalized time-frequency representations of nonstationary signals , 1990, IEEE Trans. Acoust. Speech Signal Process..

[10]  Mingui Sun,et al.  Efficient computation of the discrete pseudo-Wigner distribution , 1989, IEEE Trans. Acoust. Speech Signal Process..