Real-Time Epileptic Seizure Detection on Intra-cranial Rat Data Using Reservoir Computing

被引：0

作者：

Buteneers, Pieter ^{[1
]}

Schrauwen, Benjamin ^{[1
]}

Verstraeten, David ^{[1
]}

Stroobandt, Dirk ^{[1
]}

机构：

[1] Univ Ghent, Ghent, Belgium

来源：

ADVANCES IN NEURO-INFORMATION PROCESSING, PT I | 2009年 / 5506卷

关键词：

EEG;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper it is shown that Reservoir Computing can be successfully applied to perform real-time detection of epileptic seizures in Electroencephalograms (EECs). Absence and tonic-clonic seizures are detected on intracranial EEG coming from rats. This resulted in an area under the Receiver Operating Characteristics (ROC) curve of about 0.99 on the data that was used. For absences an average detection delay of 0.3s was noted, for tonic-clonic seizures this was 1.5s. Since it was possible to process 1511 of data on an average computer in 14.5 minutes all conditions are met for a fast and reliable real-time detection system.

引用

页码：56 / 63

页数：8

共 13 条

[1]

Annegers J.F., 1996, TREATMENT EPILEPSY P, V2nd, P165

[2]

Fanselow EE, 2000, J NEUROSCI, V20, P8160

[3]

Jaeger H., 2001, 148 GMD GERM NAT RES

[4]

Jaeger H., 2002, GMD-Report 159