Analysis of MEG Background Activity in Alzheimer's Disease Using Nonlinear Methods and ANFIS

Gómez, C, Hornero, R, Abásolo, D, Fernández, A and Escudero, J (2009) Analysis of MEG Background Activity in Alzheimer's Disease Using Nonlinear Methods and ANFIS ANN BIOMED ENG, 37 (3). pp. 586-594.

Preview	Text Gomez_et_al_AnnBiomedEng_final_version_2009.pdf - Accepted version Manuscript Available under License : See the attached licence file. Download (361kB)
Preview	Text (licence) SRI_deposit_agreement.pdf Download (33kB)

Item Type:	Article
Divisions :	Faculty of Engineering and Physical Sciences > Mechanical Engineering Sciences
Authors :	Name Email ORCID Gómez, C Hornero, R Abásolo, D Fernández, A Escudero, J
Date :	March 2009
DOI :	10.1007/s10439-008-9633-6
Uncontrolled Keywords :	Adaptive-network-based fuzzy interference system (ANFIS), Alzheimer's disease, Lempel-Ziv complexity, Magnetoencephalogram, Sample entropy, LEMPEL-ZIV COMPLEXITY, APPROXIMATE ENTROPY, MUTUAL INFORMATION, DYNAMICAL ANALYSIS, EEG, DEMENTIA, CLASSIFICATION, REGULARITY
Additional Information :	The original publication is available at http://www.springerlink.com
Depositing User :	Symplectic Elements
Date Deposited :	16 Dec 2011 10:04
Last Modified :	31 Oct 2017 14:17
URI:	http://epubs.surrey.ac.uk/id/eprint/55453

Actions (login required)

View Item

Downloads