Consistency of the blind source separation computed with five common algorithms for magnetoencephalogram background activity

Escudero, J, Hornero, R and Abásolo, D (2010) Consistency of the blind source separation computed with five common algorithms for magnetoencephalogram background activity MED ENG PHYS, 32 (10). pp. 1137-1144.

	Text (deleted) Escudero_et_al_MedEngPhys_finalversion_2010.pdf Restricted to Repository staff only Available under License : See the attached licence file. Download (634kB)
	Text (licence) licence.txt Download (1kB)
Preview	Text Escudero_et_al_MedEngPhys_final_version_2010.pdf - Accepted version Manuscript Available under License : See the attached licence file. Download (634kB)

Item Type:	Article
Divisions :	Faculty of Engineering and Physical Sciences > Mechanical Engineering Sciences
Authors :	Name Email ORCID Escudero, J Hornero, R Abásolo, D
Date :	December 2010
DOI :	10.1016/j.medengphy.2010.08.005
Uncontrolled Keywords :	Algorithm comparison, Blind Source Separation (BSS), Consistency, Independent Component Analysis (ICA), Magnetoencephalogram (MEG), INDEPENDENT COMPONENT ANALYSIS, ARTIFACT REMOVAL, EEG, SIGNALS, STATISTICS, NOISE
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, 32(10), December 2010, DOI 10.1016/j.medengphy.2010.08.005.
Depositing User :	Symplectic Elements
Date Deposited :	09 Dec 2011 09:39
Last Modified :	31 Oct 2017 14:16
URI:	http://epubs.surrey.ac.uk/id/eprint/39610

Actions (login required)

View Item

Downloads