Literature DB >> 10400215

A new way of building a database of EEG findings.

H Aurlien1, I O Gjerde, N E Gilhus, O G Hovstad, B Karlsen, H Skeidsvoll.   

Abstract

Whereas computer-based electroencephalography (EEG) is widely applied, the EEG interpretations are usually not stored in a way that favours exploitation of modern computer technology. This paper reports an EEG description system facilitating categorization of EEG data in a computerized database. The system interactively communicates with the digital EEG system and also with the general patient administrative system. The main new quality of this system is the methods for data input and automatic data retrieval from several systems, rather than the establishment of a database of EEG data itself. The EEGs are visually analysed and categorized. Manually marked EEG events are automatically transferred to the database and such events as well as defined electrode positions within these epochs are directly linked to their corresponding descriptions. The database is updated without demand for filling in the events in the database in a second operation. Thereby, the EEG interpreter builds the database while analysing the EEG. This system provides an improved accessibility of EEG data for clinical, normative, educational and scientific use.

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Year:  1999        PMID: 10400215     DOI: 10.1016/s1388-2457(99)00037-1

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  4 in total

1.  Development and Feasibility Testing of a Critical Care EEG Monitoring Database for Standardized Clinical Reporting and Multicenter Collaborative Research.

Authors:  Jong Woo Lee; Suzette LaRoche; Hyunmi Choi; Andres A Rodriguez Ruiz; Evan Fertig; Jeffrey M Politsky; Susan T Herman; Tobias Loddenkemper; Arnold J Sansevere; Pearce J Korb; Nicholas S Abend; Joshua L Goldstein; Saurabh R Sinha; Keith E Dombrowski; Eva K Ritzl; Michael B Westover; Jay R Gavvala; Elizabeth E Gerard; Sarah E Schmitt; Jerzy P Szaflarski; Kan Ding; Kevin F Haas; Richard Buchsbaum; Lawrence J Hirsch; Courtney J Wusthoff; Jennifer L Hopp; Cecil D Hahn
Journal:  J Clin Neurophysiol       Date:  2016-04       Impact factor: 2.177

2.  Standardized computer-based organized reporting of EEG: SCORE.

Authors:  Sándor Beniczky; Harald Aurlien; Jan C Brøgger; Anders Fuglsang-Frederiksen; António Martins-da-Silva; Eugen Trinka; Gerhard Visser; Guido Rubboli; Helle Hjalgrim; Hermann Stefan; Ingmar Rosén; Jana Zarubova; Judith Dobesberger; Jørgen Alving; Kjeld V Andersen; Martin Fabricius; Mary D Atkins; Miri Neufeld; Perrine Plouin; Petr Marusic; Ronit Pressler; Ruta Mameniskiene; Rüdiger Hopfengärtner; Walter van Emde Boas; Peter Wolf
Journal:  Epilepsia       Date:  2013-03-18       Impact factor: 5.864

3.  Computer-assisted interpretation of the EEG background pattern: a clinical evaluation.

Authors:  Shaun S Lodder; Jessica Askamp; Michel J A M van Putten
Journal:  PLoS One       Date:  2014-01-24       Impact factor: 3.240

4.  EEG Spectral Features Discriminate between Alzheimer's and Vascular Dementia.

Authors:  Emanuel Neto; Elena A Allen; Harald Aurlien; Helge Nordby; Tom Eichele
Journal:  Front Neurol       Date:  2015-02-13       Impact factor: 4.003

  4 in total

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