Standardized Computer‐based Organized Reporting of EEG: SCORE. (18th March 2013)
- Record Type:
- Journal Article
- Title:
- Standardized Computer‐based Organized Reporting of EEG: SCORE. (18th March 2013)
- Main Title:
- Standardized Computer‐based Organized Reporting of EEG: SCORE
- Authors:
- Beniczky, Sándor
Aurlien, Harald
Brøgger, Jan C.
Fuglsang‐Frederiksen, Anders
Martins‐da‐Silva, 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
van Emde Boas, Walter
Wolf, Peter - Abstract:
- <abstract abstract-type="main" xml:lang="en" id="epi12135-abs-0001"> <title>Summary</title> <p>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 Dianalund, Denmark, in 2010 and 2011. The faculty was approved by the Commission on European Affairs of the International League Against Epilepsy (ILAE). The working group produced a consensus proposal that went through a pan‐European review process, organized by the European Chapter of the International Federation 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,<abstract abstract-type="main" xml:lang="en" id="epi12135-abs-0001"> <title>Summary</title> <p>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 Dianalund, Denmark, in 2010 and 2011. The faculty was approved by the Commission on European Affairs of the International League Against Epilepsy (ILAE). The working group produced a consensus proposal that went through a pan‐European review process, organized by the European Chapter of the International Federation 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 EEGs 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.</p> </abstract> … (more)
- Is Part Of:
- Epilepsia. Volume 54:issue 6(2013:Jun.)
- Journal:
- Epilepsia
- Issue:
- Volume 54:issue 6(2013:Jun.)
- Issue Display:
- Volume 54, Issue 6 (2013)
- Year:
- 2013
- Volume:
- 54
- Issue:
- 6
- Issue Sort Value:
- 2013-0054-0006-0000
- Page Start:
- 1112
- Page End:
- 1124
- Publication Date:
- 2013-03-18
- Subjects:
- Epilepsy -- Periodicals
616.853 - Journal URLs:
- http://www.blackwell-synergy.com/servlet/useragent?func=showIssues&code=epi ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1111/epi.12135 ↗
- Languages:
- English
- ISSNs:
- 0013-9580
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3793.700000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 3591.xml