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
Link To Document :
بازگشت