Blind source separation to enhance spectral and non-linear features of magnetoencephalogram recordings. Application to Alzheimer's disease
Escudero, J, Hornero, R, Abásolo, D and Fernández, A (2009) Blind source separation to enhance spectral and non-linear features of magnetoencephalogram recordings. Application to Alzheimer's disease MED ENG PHYS, 31 (7). pp. 872-879.
Escudero_et_al_MedEngPhys_final_version_2009.pdf - Accepted version Manuscript
Available under License : See the attached licence file.
Plain Text (licence)
|Divisions :||Faculty of Engineering and Physical Sciences > Mechanical Engineering Sciences|
|Date :||September 2009|
|Identification Number :||https://doi.org/10.1016/j.medengphy.2009.04.003|
|Uncontrolled Keywords :||Algorithm for multiple unknown signal extraction (AMUSE), Alzheimer's disease (AD), Blind source separation (BSS), Magnetoencephalogram (MEG), Non-linear analysis, Spectral analysis, INDEPENDENT COMPONENT ANALYSIS, BACKGROUND ACTIVITY, APPROXIMATE ENTROPY, EEG, COMPLEXITY, MEG, ELECTROENCEPHALOGRAM, DIAGNOSIS, DEMENTIA, DYNAMICS|
|Additional Information :||NOTICE: this is the author’s version of a work that was accepted for publication in Medical Engineering and Physics. 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 Medical Engineering and Physics, 31(7), September 2009, DOI 10.1016/j.medengphy.2009.04.003.|
|Depositing User :||Symplectic Elements|
|Date Deposited :||09 Dec 2011 09:35|
|Last Modified :||23 Sep 2013 18:55|
Actions (login required)
Downloads per month over past year