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2007 Hurst parameter estimation for epleptic seizure detection
Ivan Osorio, Mark G. Frei
Commun. Inf. Syst. 7(2): 167-176 (2007).

Abstract

Estimation of the Hurst parameter provides information about the memory range orcorrelations (long vs. short) of processes (time-series). A new application for the Hurst parameter, real-time event detection, is identified. Hurst estimates using rescaled range, dispersional and bridgedetrended scaled windowed variance analyses of seizure time-series recorded from human subjects reliably detect their onset, termination and intensity. Detection sensitivity is unaltered by signal decimation and window size increases. The high sensitivity to brain state changes, ability to operate in real time and small computational requirements make Hurst parameter estimation using any of these three methods well suited for implementation into miniature implantable devices for contingent delivery of anti-seizure therapies.

Citation

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Ivan Osorio. Mark G. Frei. "Hurst parameter estimation for epleptic seizure detection." Commun. Inf. Syst. 7 (2) 167 - 176, 2007.

Information

Published: 2007
First available in Project Euclid: 20 July 2007

MathSciNet: MR2344195

Keywords: contingent therapy , electrocorticogram , Epilepsy , Hurst parameter , implantable devices , seizure detection

Rights: Copyright © 2007 International Press of Boston

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Vol.7 • No. 2 • 2007
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