NDLI: Epilepsy stages diagnosis by Gabor atom density according to their aspect ratio

Content Provider	IEEE Xplore Digital Library
Author	Sotelo, A. Guijarro, E. Garcia, M.J. Vazquez, C.E.
Copyright Year	2008
Description	Author affiliation: Dept. of Electr. & Electron. Eng., Tijuana Inst. of Technol., Tijuana (Sotelo, A.; Garcia, M.J.; Vazquez, C.E.) \|\| Dept. of Electron. Eng., Polytech. Univ. of Valencia, Valencia (Guijarro, E.)
Abstract	During epilepsy seizure Electrocorticogram (ECoG) may change dramatically from a nearly chaotic signal (basal state) into a highly synchronized signal during a seizure, characterized by high amplitude and low frequency, and suddenly go back to the basal sate, making hard to identify them from time series. The epileptic seizure shows some stages as it is evolving, the here studied are: basal, preictal, ictal and posictal. As most of the bioelectrical signal, ECoG is a highly non periodical signal, so the most suitable techniques to analyze them are the Time-Frequency algorithms (T-F), allowing to follow up its frequency evolution through the seizure. Each seizure stage has a set of frequency components (atoms), showing up at different time. These components have their own particular characteristics, depending on the influence on time (duration) and frequency (bandwidth) they can be rated in three different classes: Rhythmic, Intermediate and Transitory. There are different amount of these components among stages, based on the density of this atoms, here we try to identify each of the epilepsy stages, decomposing short signal segments (epochs) into their atoms by means of the Matching Pursuit algorithm, an adaptive T-F algorithm. Signals were recorded intracranially from Wistar rats at the cortex level, seizures were elicited by kindling model before recording.
Starting Page	158
Ending Page	163
File Size	698483
Page Count	6
File Format	PDF
ISBN	9781424424986
DOI	10.1109/ICEEE.2008.4723373
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-11-12
Publisher Place	Mexico
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Chaos Algorithm design and analysis Epilepsy Matching pursuit algorithms Time frequency analysis Kindling ECoG Matching Pursuit Aspect Ratio Gabor Atoms Signal processing Bioelectric phenomena Frequency synchronization Signal analysis Pursuit algorithms
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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