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). pp. 75-85.
Escudero_et_al_ArtifIntellMed_final_version_2008.pdf - Accepted version Manuscript
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|Divisions :||Faculty of Engineering and Physical Sciences > Mechanical Engineering Sciences|
|Date :||May 2008|
|Identification Number :||https://doi.org/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|
|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.|
|Depositing User :||Symplectic Elements|
|Date Deposited :||09 Dec 2011 09:42|
|Last Modified :||23 Sep 2013 18:55|
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