DocumentCode :
2471434
Title :
A state-space model of the burst suppression ratio
Author :
Chemali, Jessica J. ; Wong, K. F Kevin ; Solt, Ken ; Brown, Emery N.
Author_Institution :
Massachussets Gen. Hosp., Boston, MA, USA
fYear :
2011
fDate :
Aug. 30 2011-Sept. 3 2011
Firstpage :
1431
Lastpage :
1434
Abstract :
Burst suppression is an electroencephalogram pattern observed in states of severely reduced brain activity, such as general anesthesia, hypothermia and anoxic brain injuries. The burst suppression ratio (BSR), defined as the fraction of EEG spent in suppression per epoch, is the standard quantitative measure used to characterize burst suppression. We present a state space model to compute a dynamic estimate of the BSR as the instantaneous probability of suppression. We estimate the model using an approximate EM algorithm and illustrate its application in the analysis of rodent burst suppression recordings under general anesthesia. Our approach removes the need to artificially average the ratio over long epochs and allows us to make formal statistical comparisons of burst activity at different time points. Our state-space model suggests a more principled way to analyze this key EEG feature that may offer more informative assessments of its associated brain state.
Keywords :
electroencephalography; expectation-maximisation algorithm; medical signal processing; BSR dynamic estimation; EEG; anoxic brain injuries; approximate EM algorithm; burst suppression characterisation; burst suppression ratio; electroencephalogram pattern; general anesthesia; hypothermia; instantaneous suppression probability; rodent burst suppression recordings; severely reduced brain activity; state space model; Anesthesia; Brain modeling; Computational modeling; Electroencephalography; Equations; Heuristic algorithms; Mathematical model; Action Potentials; Animals; Biological Clocks; Brain; Computer Simulation; Models, Neurological; Nerve Net; Neural Inhibition; Rats; Synaptic Transmission;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2011.6090354
Filename :
6090354
Link To Document :
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