DocumentCode :
1369756
Title :
Signal processing in prolonged EEG recordings during intensive care
Author :
Van Gils, Mark ; Rosenfalck, A. ; White, Steven ; Prior, Pamela ; Gade, John ; Senhadji, Lotfi ; Thomsen, Carsten ; Ghosh, I. Robert ; Longford, R.M. ; Jensen, Kjeld
Author_Institution :
VTT Inf. Technol., Tampere, Finland
Volume :
16
Issue :
6
fYear :
1997
Firstpage :
56
Lastpage :
63
Abstract :
Methods for analyzing and displaying EEG signals are discussed. The increasing availability and affordability of powerful computer equipment makes possible the use of ever more sophisticated signal processing techniques, which extract relevant (but not readily discernible) information from long-term EEG recordings and can easily identify important features in the EEG. Whether these techniques are actually taken up in clinical practice is heavily dependent on how well they match clinical requirements. This article concentrates on requirements set in the context of long-term recordings in the ICU that demand the ability to process short-term discrete events as well as long-term trend information. A huge range of potentially useful signal processing techniques exists. This article illustrates the value of some of these techniques for ICU signals using the EEG recordings collected during the IMPROVE project.
Keywords :
data recording; electroencephalography; medical signal processing; patient care; ICU; IMPROVE data library; IMPROVE project; intensive care; long-term recordings; long-term trend information; prolonged EEG recordings; relevant information extraction; short-term discrete events; signal processing; Data mining; Electroencephalography; Epilepsy; Event detection; Information analysis; Inspection; Patient monitoring; Signal analysis; Signal processing; Sleep; Adult; Data Collection; Data Display; Electroencephalography; Encephalitis; European Union; Fourier Analysis; Humans; Intensive Care; Monitoring, Physiologic; Signal Processing, Computer-Assisted; Sleep Stages; Thiopental; Time Factors;
fLanguage :
English
Journal_Title :
Engineering in Medicine and Biology Magazine, IEEE
Publisher :
ieee
ISSN :
0739-5175
Type :
jour
DOI :
10.1109/51.637118
Filename :
637118
Link To Document :
بازگشت