DocumentCode
3395004
Title
Development of an AR-pole statistic for ECoG seizure detection
Author
Bozek-Kuzmicki, Maribeth ; Weinstein, Steven L. ; Benke, George ; Schiff, Steven J.
Author_Institution
Mitre Corp., McLean, VA, USA
Volume
2
fYear
1995
fDate
20-23 Sep 1995
Firstpage
935
Abstract
The authors consider the problem of epileptic seizure detection and focus localization from ECoG signals. ECoG are subdural recordings of electric potentials collected by invasively placing a grid on the surface of the brain. A statistic based on an autoregressive (AR) model has been developed to aid in seizure detection and localization. Specifically, the authors build a statistic based on the location of three dominant poles (obtained from the AR polynomial) relative to the unit circle. This statistic has produced results that are in agreement with findings by clinical ECoG readers for five patient cases examined
Keywords
autoregressive processes; electroencephalography; medical signal processing; statistical analysis; AR polynomial; AR-pole statistic; ECoG seizure detection; autoregressive model; brain surface; dominant poles; electrodiagnostics; epilepsy; patient cases; unit circle; Drugs; Electric potential; Electrodes; Epilepsy; Frequency; Medical signal detection; Pediatrics; Polynomials; Statistics; Surface morphology;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
Conference_Location
Montreal, Que.
Print_ISBN
0-7803-2475-7
Type
conf
DOI
10.1109/IEMBS.1995.579356
Filename
579356
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