A new approach towards predictability of epileptic seizures: KLT dimension

被引：0

作者：

Venugopal, R ^{[1
]}

Narayanan, K ^{[1
]}

Prasad, A ^{[1
]}

Spanias, A ^{[1
]}

Sackellares, JC ^{[1
]}

Iasemidis, LD ^{[1
]}

机构：

[1] Arizona State Univ, Dept Elect Engn, Tempe, AZ 85287 USA

来源：

BIOMEDICAL SCIENCES INSTRUMENTATION, VOL 39 | 2003年 / 39卷

关键词：

electroencephalogram; temporal lobe epilepsy; seizure prediction; KLT; T-index; lyapunov exponents; biomedical signal processing;

D O I：

暂无

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

This paper proposes a measure of complexity of the epileptic electroencephalogram (EEG) based on the dimensionality of the Karhunen-Loeve Transform (KLT) in the time domain. We estimate the KLT dimensionality by assuming the same observation noise level in the EEG during the interictal period (between the seizures) as the one during an epileptic seizure (ictal period). Utilizing an optimality criterion based on the T-index [1] and the predictability time, derived from the created KLT dimensionality profiles, we show that 10 out of 15 seizures in one patient with temporal lobe epilepsy were predictable with an average predictability time of about 36 minutes.

引用

页码：123 / 128

页数：6

共 6 条

[1] EXTRACTING QUALITATIVE DYNAMICS FROM EXPERIMENTAL-DATA
BROOMHEAD, DS
KING, GP
[J]. PHYSICA D, 1986, 20 (2-3): : 217 - 236
[2] Chaos theory and epilepsy
Iasemidis, LD
Sackellares, JC
[J]. NEUROSCIENTIST, 1996, 2 (02) : 118 - 126
[3] Quadratic binary programming and dynamical system approach to determine the predictability of epileptic seizures
Iasemidis, LD
Pardalos, P
Sackellares, JC
Shiau, DS
[J]. JOURNAL OF COMBINATORIAL OPTIMIZATION, 2001, 5 (01) : 9 - 26
[4] Iasemidis LD, 1991, MEASURING CHAOS HUMA, P49
[5] MOOA T, 2000, MATH METHODS ALGORIT
[6] VENUGOPAL R, 2002, THESIS ARIZONA STATE

← 1 →