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Standardized Computer‐based Organized Reporting of EEG : SCORE
Author(s) -
Beniczky Sándor,
Aurlien Harald,
Brøgger Jan C.,
FuglsangFrederiksen Anders,
MartinsdaSilva António,
Trinka Eugen,
Visser Gerhard,
Rubboli Guido,
Hjalgrim Helle,
Stefan Hermann,
Rosén Ingmar,
Zarubova Jana,
Dobesberger Judith,
Alving Jørgen,
Andersen Kjeld V.,
Fabricius Martin,
Atkins Mary D.,
Neufeld Miri,
Plouin Perrine,
Marusic Petr,
Pressler Ronit,
Mameniskiene Ruta,
Hopfengärtner Rüdiger,
Emde Boas Walter,
Wolf Peter
Publication year - 2013
Publication title -
epilepsia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.687
H-Index - 191
eISSN - 1528-1167
pISSN - 0013-9580
DOI - 10.1111/epi.12135
Subject(s) - electroencephalography , ictal , subclinical infection , alertness , clinical neurophysiology , audiology , medicine , psychology , computer science , neuroscience , psychiatry
Summary The electroencephalography ( EEG ) signal has a high complexity, and the process of extracting clinically relevant features is achieved by visual analysis of the recordings. The interobserver agreement in EEG interpretation is only moderate. This is partly due to the method of reporting the findings in free‐text format. The purpose of our endeavor was to create a computer‐based system for EEG assessment and reporting, where the physicians would construct the reports by choosing from predefined elements for each relevant EEG feature, as well as the clinical phenomena (for video‐ EEG recordings). A working group of EEG experts took part in consensus workshops in D ianalund, D enmark, in 2010 and 2011. The faculty was approved by the C ommission on E uropean A ffairs of the I nternational L eague Against Epilepsy (ILAE). The working group produced a consensus proposal that went through a pan‐ E uropean review process, organized by the E uropean C hapter of the I nternational F ederation of Clinical Neurophysiology. The Standardised Computer‐based Organised Reporting of EEG ( SCORE ) software was constructed based on the terms and features of the consensus statement and it was tested in the clinical practice. The main elements of SCORE are the following: personal data of the patient, referral data, recording conditions, modulators, background activity, drowsiness and sleep, interictal findings, “episodes” (clinical or subclinical events), physiologic patterns, patterns of uncertain significance, artifacts, polygraphic channels, and diagnostic significance. The following specific aspects of the neonatal EEG s are scored: alertness, temporal organization, and spatial organization. For each EEG finding, relevant features are scored using predefined terms. Definitions are provided for all EEG terms and features. SCORE can potentially improve the quality of EEG assessment and reporting; it will help incorporate the results of computer‐assisted analysis into the report, it will make possible the build‐up of a multinational database, and it will help in training young neurophysiologists.