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Assessment of classification improvement in patients with Alzheimer's disease based on magnetoencephalogram blind source separation

Escudero, J, Hornero, R, Poza, J, Abásolo, D and Fernández, A (2008) Assessment of classification improvement in patients with Alzheimer's disease based on magnetoencephalogram blind source separation ARTIF INTELL MED, 43 (1). 75 - 85. ISSN 0933-3657

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Escudero_et_al_ArtifIntellMed_final_version_2008.pdf - Accepted Version
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Item Type: Article
Additional Information: NOTICE: this is the author’s version of a work that was accepted for publication in Artificial Intelligence in Medicine. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Artificial Intelligence in Medicine, 43(1), May 2008, DOI 10.1016/j.artmed.2008.01.001.
Uncontrolled Keywords: Alzheimer's disease, algorithm for multiple unknown signals extraction (AMUSE), blind source separation (BSS), magnetoencephalogram (MEG), median frequency, spectral entropy, INDEPENDENT COMPONENT ANALYSIS, MILD COGNITIVE IMPAIRMENT, BACKGROUND ACTIVITY, MUTUAL INFORMATION, HUMAN BRAIN, MEG DATA, EEG, ENTROPY, SIGNALS, ARTIFACT
Divisions: Faculty of Engineering and Physical Sciences > Mechanical Engineering Sciences
Depositing User: Symplectic Elements
Date Deposited: 09 Dec 2011 09:42
Last Modified: 23 Sep 2013 18:55
URI: http://epubs.surrey.ac.uk/id/eprint/39626

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