DocumentCode :
1541284
Title :
Specific monitoring of neonatal brain function with optimized frequency bands
Author :
Hoyer, Dirk ; Bauer, Reinhard ; Conrad, Kirsten ; Galicki, Mirek ; Döring, Axel ; Hoyer, Heike ; Walter, Bernd ; Witie, H. ; Zwiener, Ulrich
Volume :
20
Issue :
5
fYear :
2001
Firstpage :
40
Lastpage :
46
Abstract :
Early detection of altered brain function can be helpful in preventing the development of serious brain damage. Power spectral analysis of continuous EEG is an established tool in corresponding clinical monitoring. The commonly used EEG power classifiers are based on the power within particular frequency bands. It can be supposed that individually adapted frequency bands allow a more specific monitoring of altered brain function than the commonly used standard EEG frequency bands. In order to test this hypothesis and provide an appropriate signals analysis approach. A hybrid analysis system (HAS) containing variable frequency band power estimators and artificial neural networks (ANNs) was trained with regard to brain function during well-defined states of hemorrhagic hypotension. The aim of the methodical study presented in this article was to investigate whether specific EEG frequency band power parameters can be found by means of this HAS, which enables better detection and classification of moderately reduced brain supply than the classical fixed frequency bands.
Keywords :
electroencephalography; neural nets; paediatrics; patient monitoring; spectral analysis; altered brain function detection; artificial neural networks; classical fixed frequency bands; electrodiagnostics; frequency bands; hemorrhagic hypotension; hybrid analysis system; moderately reduced brain supply; neonatal brain function monitoring; optimized frequency bands; signals analysis approach; variable frequency band power estimators; Artificial neural networks; Electroencephalography; Frequency estimation; Hemorrhaging; Monitoring; Pediatrics; Signal analysis; Spectral analysis; State estimation; Testing; Animals; Animals, Newborn; Biomedical Engineering; Brain Ischemia; Electroencephalography; Humans; Infant, Newborn; Monitoring, Physiologic; Neural Networks (Computer); Swine;
fLanguage :
English
Journal_Title :
Engineering in Medicine and Biology Magazine, IEEE
Publisher :
ieee
ISSN :
0739-5175
Type :
jour
DOI :
10.1109/51.956818
Filename :
956818
Link To Document :
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