Collecting EEG signals in the IMPROVE data library

Carsten Thomsen, John Grade, Kari Nieminen, Richard Langford, Robert Ghosh, Kjeld Jensen, Mark van Gils, Annelise Rosenfalck, Pamela Prior, Steven White

Research output: Contribution to journalArticleScientificpeer-review

17 Citations (Scopus)


One of the key issues for the IMPROVE (IMPROVing control of patient status in critical carE) project was to define and build a data library (DL) of annotated data acquired in the intensive-care unit (ICU), with particular reference to problems of mismatch between oxygen utilisation and supply. An additional aim of the IMPROVE study 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. In this article, we describe the setup for collection of the EEG DL, the tools developed to facilitate visual analysis of the EEG together with simultaneous data from other non-EEG variables, data concerning quality control, and some preliminary observations from detailed visual assessment of EEG patterns in relation to other ICU events.
Original languageEnglish
Pages (from-to)33-40
JournalIEEE Engineering in Medicine and Biology Magazine
Issue number6
Publication statusPublished - 1997
MoE publication typeA1 Journal article-refereed


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