Correlation dimension and integral do not predict epileptic seizures

Mary Ann F Harrison; Ivan Osorio; Mark G. Frei; Srividhya Asuri; Ying-Cheng Lai

doi:10.1063/1.1935138

Correlation dimension and integral do not predict epileptic seizures

Mary Ann F Harrison, Ivan Osorio, Mark G. Frei, Srividhya Asuri, Ying-Cheng Lai

Research output: Contribution to journal › Article › peer-review

59 Scopus citations

Abstract

Reports in the literature have indicated potential value of the correlation integral and dimension for prediction of epileptic seizures up to several minutes before electrographic onset. We apply these measures to over 2000 total hours of continuous electrocortiogram, taken from 20 patients with epilepsy, examine their sensitivity to quantifiable properties such as the signal amplitude and autocorrelation, and investigate the influence of embedding and filtering strategies on their performance. The results are compared against those obtained from surrogate time series. Our conclusion is that neither the correlation dimension nor the correlation integral has predictive power for seizures.

Original language	English (US)
Article number	033106
Journal	Chaos
Volume	15
Issue number	3
DOIs	https://doi.org/10.1063/1.1935138
State	Published - Sep 2005

ASJC Scopus subject areas

Statistical and Nonlinear Physics
Mathematical Physics
General Physics and Astronomy
Applied Mathematics

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title = "Correlation dimension and integral do not predict epileptic seizures",

abstract = "Reports in the literature have indicated potential value of the correlation integral and dimension for prediction of epileptic seizures up to several minutes before electrographic onset. We apply these measures to over 2000 total hours of continuous electrocortiogram, taken from 20 patients with epilepsy, examine their sensitivity to quantifiable properties such as the signal amplitude and autocorrelation, and investigate the influence of embedding and filtering strategies on their performance. The results are compared against those obtained from surrogate time series. Our conclusion is that neither the correlation dimension nor the correlation integral has predictive power for seizures.",

author = "Harrison, {Mary Ann F} and Ivan Osorio and Frei, {Mark G.} and Srividhya Asuri and Ying-Cheng Lai",

note = "Funding Information: This work was supported in part by NIH under Grant No. 1R43NS43100-01, and in part by internal funding at Flint Hills Scientific, L.L.C. ",

year = "2005",

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AU - Harrison, Mary Ann F

AU - Osorio, Ivan

AU - Frei, Mark G.

AU - Asuri, Srividhya

AU - Lai, Ying-Cheng

N1 - Funding Information: This work was supported in part by NIH under Grant No. 1R43NS43100-01, and in part by internal funding at Flint Hills Scientific, L.L.C.

PY - 2005/9

Y1 - 2005/9

N2 - Reports in the literature have indicated potential value of the correlation integral and dimension for prediction of epileptic seizures up to several minutes before electrographic onset. We apply these measures to over 2000 total hours of continuous electrocortiogram, taken from 20 patients with epilepsy, examine their sensitivity to quantifiable properties such as the signal amplitude and autocorrelation, and investigate the influence of embedding and filtering strategies on their performance. The results are compared against those obtained from surrogate time series. Our conclusion is that neither the correlation dimension nor the correlation integral has predictive power for seizures.

AB - Reports in the literature have indicated potential value of the correlation integral and dimension for prediction of epileptic seizures up to several minutes before electrographic onset. We apply these measures to over 2000 total hours of continuous electrocortiogram, taken from 20 patients with epilepsy, examine their sensitivity to quantifiable properties such as the signal amplitude and autocorrelation, and investigate the influence of embedding and filtering strategies on their performance. The results are compared against those obtained from surrogate time series. Our conclusion is that neither the correlation dimension nor the correlation integral has predictive power for seizures.

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Correlation dimension and integral do not predict epileptic seizures

Abstract

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