Time-frequency analysis of high-frequency activity at the start of epileptic seizures

High-frequency activity in the subdural electroencephalogram (SEEGs) often appears preceding full-scale epileptic seizures. This activity may provide important information about the location of epileptic foci and the propagation of seizures within the brain. To characterize this activity we applied...

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Bibliographic Details
Published inProceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136) Vol. 3; pp. 1184 - 1187 vol.3
Main Authors Sun, M., Scheuer, M.L., Qian, S., Baumann, S.B., Adelson, P.D., Sclabassi, R.J.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1997
Subjects
Biomedical signal processing
Digital recording
Electroencephalography
Epilepsy
Filters
Neurosurgery
Sampling methods
Sun
Surgery
Time frequency analysis
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Summary:High-frequency activity in the subdural electroencephalogram (SEEGs) often appears preceding full-scale epileptic seizures. This activity may provide important information about the location of epileptic foci and the propagation of seizures within the brain. To characterize this activity we applied advanced time-frequency analysis techniques, such as the cone-kernel distribution and time-frequency signal reconstruction, to multichannel SEEG data. The data shows that the high-frequency activity has a narrow bandwidth and a highly variant dominant frequency. Our results also indicate a possible interaction between this high-frequency component and other low frequency components present at the start of epileptic seizures.
ISBN:9780780342620
0780342623
ISSN:1094-687X
1558-4615
DOI:10.1109/IEMBS.1997.756572