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http://bura.brunel.ac.uk/handle/2438/23268Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Klepl, D | - |
| dc.contributor.author | He, F | - |
| dc.contributor.author | Wu, M | - |
| dc.contributor.author | De Marco, M | - |
| dc.contributor.author | Blackburn, D | - |
| dc.contributor.author | Sarrigiannis, PG | - |
| dc.date.accessioned | 2021-09-22T12:15:26Z | - |
| dc.date.available | 2021-09-22T12:15:26Z | - |
| dc.date.issued | 2021-08-18 | - |
| dc.identifier.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. | en_US |
| dc.identifier.issn | 2168-2194 | - |
| dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/23268 | - |
| dc.description.sponsorship | Alzheimer’s Research U.K. (Grant Number: ARUK-PPG20114B-25) | en_US |
| dc.format.extent | 992 - 1000 | - |
| dc.language.iso | en | en_US |
| dc.publisher | IEEE | en_US |
| dc.rights | Copyright © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | - |
| dc.rights.uri | https://www.ieee.org/publications/rights/rights-policies.html | - |
| dc.subject | Alzheimer's disease | en_US |
| dc.subject | EEG | en_US |
| dc.subject | energy landscape | en_US |
| dc.subject | maximum entropy model | en_US |
| dc.subject | network | en_US |
| dc.subject | machine learning | en_US |
| dc.title | Characterising Alzheimer’s Disease With EEG-Based Energy Landscape Analysis | en_US |
| dc.type | Article | en_US |
| dc.identifier.doi | https://doi.org/10.1109/JBHI.2021.3105397 | - |
| dc.relation.isPartOf | IEEE Journal of Biomedical and Health Informatics | - |
| pubs.issue | 3 | - |
| pubs.publication-status | Published | - |
| pubs.volume | 26 | - |
| dc.identifier.eissn | 2168-2208 | - |
| dc.rights.holder | IEEE | - |
| Appears in Collections: | Dept of Life Sciences Research Papers | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Copyright © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | 956.67 kB | Adobe PDF | View/Open |
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