Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/23268
Title: Characterising Alzheimer’s Disease With EEG-Based Energy Landscape Analysis
Authors: Klepl, D
He, F
Wu, M
De Marco, M
Blackburn, D
Sarrigiannis, PG
Keywords: Alzheimer's disease;EEG;energy landscape;maximum entropy model;network;machine learning
Issue Date: 18-Aug-2021
Publisher: IEEE
Citation: Klepl, D., He, F., Wu, M., De Marco, M., Blackburn, D. and Sarrigiannis, P.G. (2021) 'Characterising Alzheimer’s Disease with EEG-based Energy Landscape Analysis', IEEE Journal of Biomedical and Health Informatics, 26 (3), pp. 992 - 1000. doi: 10.1109/JBHI.2021.3105397.
URI: https://bura.brunel.ac.uk/handle/2438/23268
DOI: https://doi.org/10.1109/JBHI.2021.3105397
ISSN: 2168-2194
Appears in Collections:Dept of Life Sciences Research Papers

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