Line length: An efficient feature for seizure onset detection

R. Esteller; J. Echauz; T. Tcheng; B. Litt; B. Pless

doi:10.1109/IEMBS.2001.1020545

Line length: An efficient feature for seizure onset detection

R. Esteller
, J. Echauz
, T. Tcheng
, B. Litt
, B. Pless

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

256 Scopus citations

Abstract

A signal feature with low computational burden is presented as an efficient tool for seizure onset detection. The feature was evaluated over a total of 1,215 hours of intracranial EEG signal from 10 patients. Results confirmed this feature as being useful for seizure onset detection yielding an average delay of 4.1 seconds, 0.051 false positives per hour, and one false negative on a subclinical seizure out of 111 seizures analyzed of which 23 were subclinical.

Original language	English (US)
Article number	188
Pages (from-to)	1707-1710
Number of pages	4
Journal	Annual International Conference of the IEEE Engineering in Medicine and Biology-Proceedings
Volume	2
DOIs	https://doi.org/10.1109/IEMBS.2001.1020545
State	Published - 2001
Externally published	Yes

Keywords

Fractal dimension
Seizure detection

Publisher link

10.1109/IEMBS.2001.1020545

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abstract = "A signal feature with low computational burden is presented as an efficient tool for seizure onset detection. The feature was evaluated over a total of 1,215 hours of intracranial EEG signal from 10 patients. Results confirmed this feature as being useful for seizure onset detection yielding an average delay of 4.1 seconds, 0.051 false positives per hour, and one false negative on a subclinical seizure out of 111 seizures analyzed of which 23 were subclinical.",

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AU - Litt, B.

AU - Pless, B.

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AB - A signal feature with low computational burden is presented as an efficient tool for seizure onset detection. The feature was evaluated over a total of 1,215 hours of intracranial EEG signal from 10 patients. Results confirmed this feature as being useful for seizure onset detection yielding an average delay of 4.1 seconds, 0.051 false positives per hour, and one false negative on a subclinical seizure out of 111 seizures analyzed of which 23 were subclinical.

KW - Fractal dimension

KW - Seizure detection

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UR - https://www.scopus.com/pages/publications/61549101900#tab=citedBy

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M3 - Article

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JF - Annual International Conference of the IEEE Engineering in Medicine and Biology-Proceedings

M1 - 188

ER -

Line length: An efficient feature for seizure onset detection

Abstract

Keywords

Publisher link

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