Paper
6 April 1995 Wavelet-based analysis of electroencephalogram (EEG) signals for detection and localization of epileptic seizures
George Benke, Maribeth Bozek-Kuzmicki, David Colella, Garry M. Jacyna, John J. Benedetto
Author Affiliations +
Abstract
A wavelet-based technique WISP is used to discriminate normal brain activity from brain activity during epileptic seizures. The WISP technique is used to exploit the noted difference in frequency content during the normal brain state and the seizure brain state so that detection and localization decisions can be made. An AR-Pole statistic technique is used as a comparative measure to base-line the WISP performance.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
George Benke, Maribeth Bozek-Kuzmicki, David Colella, Garry M. Jacyna, and John J. Benedetto "Wavelet-based analysis of electroencephalogram (EEG) signals for detection and localization of epileptic seizures", Proc. SPIE 2491, Wavelet Applications II, (6 April 1995); https://doi.org/10.1117/12.205439
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CITATIONS
Cited by 6 scholarly publications.
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KEYWORDS
Data modeling

Autoregressive models

Brain

Signal detection

Electroencephalography

Statistical analysis

Wavelets

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