Collecting EEG signals in the IMPROVE data library

  • Carsten E. Thomsen*
  • , John Gade
  • , Kari Nieminen
  • , Richard M. Langford
  • , I. Robert Ghosh
  • , Kjeld Jensen
  • , Mark Van Gils
  • , Annelise Rosenfalck
  • , Pamela Prior
  • , Steven White
  • *Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

17 Citations (Scopus)

Abstract

One of the aims of the IMPROVE project was to test the feasibility and clinical value of including limited monitoring of high-quality long-term EEG signals with the main DL in a restricted number of patients. Such an EEG DL would form a useful basis for testing the applicability and validity of different signal-processing and interpretation methods in ICU monitoring, and also demonstrate the degree to which useful information could be obtained by a degree of fusion between systemic and cerebral variables. Continuous display of the raw EEG signal can enable easy recognition/detection of events such as epileptiform discharges, lateralized changes in the EEG background activity, or less obvious artifacts in the EEG.

Original languageEnglish
Pages (from-to)33-40
Number of pages8
JournalIEEE Engineering in Medicine and Biology Magazine
Volume16
Issue number6
DOIs
Publication statusPublished - Nov 1997
Externally publishedYes
Publication typeNot Eligible

ASJC Scopus subject areas

  • Biomedical Engineering

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