Fractal dimension characterizes seizure onset in epileptic patients

被引：42

作者：

Esteller, R ^{[1
]}

Vachtsevanos, G ^{[1
]}

Echauz, J ^{[1
]}

Henry, T ^{[1
]}

Pennell, P ^{[1
]}

Epstein, C ^{[1
]}

Bakay, R ^{[1
]}

Bowen, C ^{[1
]}

Litt, B ^{[1
]}

机构：

[1] Georgia Inst Technol, Atlanta, GA 30332 USA

来源：

ICASSP '99: 1999 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, PROCEEDINGS VOLS I-VI | 1999年

关键词：

D O I：

10.1109/ICASSP.1999.758408

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

We present a quantitative method for identifying the onset of epileptic seizures in the intracranial electroencephalogram (IEEG), a process which is usually done by expert visual inspection, often with variable results. We performed a fractal dimension (FD) analysis on IEEG recordings obtained from implanted depth and strip electrodes in patients with refractory mesial temporal lobe epilepsy (MTLE) during evaluation for epilepsy surgery. Results demonstrate a reproducible and quantifiable pattern that clearly discriminates the ictal (seizure) period from the pre-ictal (pre-seizure) period. This technique provides an efficient method for IEEG complexity characterization, which may be implemented in real time. Additionally, large volumes of IEEG data can be analyzed through compact records of FD values, achieving data compression on the order of one hundred fold. This technique is promising as a computational tool for determination of electrographic seizure onset in clinical applications.

引用

页码：2343 / 2346

页数：4

共 19 条

[1] Use of the fractal dimension for the analysis of electroencephalographic time series [J].