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Data fusion via fission for the analysis of brain death
L. Li, Y. Saito, D. Looney, T. Tanaka, J. Cao, and D. Mandic
Wiley, 1 edition, April 2010 [doi].Abstract
Information fusion via signal fission is addressed in the framework of empirical mode decomposition (EMD) to determine brain death in deep coma patients. In this way, a general nonlinear and nonstationary brain signal is decomposed into its oscillatory components (fission); the components of interest are then combined in an ad-hoc or automated fashion in order to provide greater knowledge about a process in hand (fusion). This chapter illustrates howthe fusion via fission methodology can be used to retain components of interest in electroencephalography (EEG), thus highlighting the absence or presence of brain death. Additionally, it is shown howcomplex extensions of the algorithm can be used to detect phase synchronization by simulations and applications to EEG signals.
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@book{3180,
author = {L. Li and Y. Saito and D. Looney and T. Tanaka and J. Cao and D. Mandic},
title = {Data fusion via fission for the analysis of brain death},
month = {April},
year = {2010},
pages = {229-245},
keywords = {},
note = {},
doi = {10.1002/9780470569962.ch10},
url = {http://www.cs.kent.ac.uk/pubs/2010/3180},
publication_type = {book},
submission_id = {4576_1320779053},
ISBN = {9780470287194},
editor = {Plamen Angelov and Dimitar P. Filev and Nikola Kasabov},
publisher = {Wiley},
edition = {1},
}