Simultaneous spike detection and topographic classification in pediatric surface EEGs.

Abstract:

:In this study, an algorithm is introduced for the automatic detection and simultaneous topographic classification of interictal regional spike activity in pediatric surface EEG records. The algorithm is based on the classification of the topographic distribution of instantaneous power by means of a 'group' trained classifier. The results of automatic spike analysis were compared with the decisions of two experienced electroencephalographers. Four routine EEG records exhibiting (multi)regional spikes were examined. The mean selectivity for the automatic spike detector was 84.6% (mean sensitivity 88.1%, mean specificity 89.3%) and for the electroencephalographers 85.3%. All spikes detected by the algorithm were simultaneously classified according to their topographic characteristics. The results of automatic spike classification (lateralization/localization) corresponded to the results of visual analysis.

journal_name

Neuroreport

journal_title

Neuroreport

authors

Feucht M,Hoffmann K,Steinberger K,Witte H,Benninger F,Arnold M,Doering A

doi

10.1097/00001756-199707070-00021

subject

Has Abstract

pub_date

1997-07-07 00:00:00

pages

2193-7

issue

9-10

eissn

0959-4965

issn

1473-558X

journal_volume

8

pub_type

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