Spike detection algorithm automatically adapted to individual patients applied to spike-and-wave percentage quantification.

Nonclercq, Antoine
Foulon, Martine
Verheulpen, Denis
De Cock, C
Buzatu, Marga
Mathys, Pierre
Van Bogaert, Patrick

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Publication date

January 2009

DOI

10.1016/j.neucli.2008.12.001

Publisher

Elsevier BV

ISSN

0987-7053

Citation count (estimate)

Abstract

To report an innovative spike detection algorithm that tailors its detection to the patient. Interictal epileptiform activity quantification was accomplished in the setting of epileptic syndromes with continuous spike and waves during slow sleep, which is a time-consuming task for the EEG analysis.info:eu-repo/semantics/publishe

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Spike detection algorithm automatically adapted to individual patients applied to spike-and-wave percentage quantification.

Abstract

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Spike detection algorithm automatically adapted to individual patients applied to spike-and-wave percentage quantification.

Abstract

Extracted data

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