A New Framework for Automatic Detection of Patients with Mild Cognitive Impairment Using Resting-State EEG Signals
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Siuly, Siuly 
ORCID: 0000-0003-2491-0546, Alçіn, Ömer F, Kabir, Enamul ORCID: 0000-0002-6157-2753, Sengur, Abdulkadir ORCID: 0000-0003-1614-2639, Wang, Hua ORCID: 0000-0002-8465-0996, Zhang, Yanchun ORCID: 0000-0002-5094-5980 and Whittaker, Frank ORCID: 0000-0002-3728-0291
(2020)
A New Framework for Automatic Detection of Patients with Mild Cognitive Impairment Using Resting-State EEG Signals.
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28 (9).
pp. 1966-1976.
ISSN 1534-4320
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| Item type | Article |
| URI | https://vuir.vu.edu.au/id/eprint/41742 |
| DOI | 10.1109/TNSRE.2020.3013429 |
| Official URL | https://ieeexplore.ieee.org/document/9153787 |
| Funders | http://purl.org/au-research/grants/arc/LP170100934 |
| Subjects | Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing Historical > FOR Classification > 0906 Electrical and Electronic Engineering Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
| Keywords | electroencephalography; EEG; mild cognitive impairment; MCI; extreme learning machine; ELM; piecewise aggregate approximation; PAA |
| Citations in Scopus | 55 - View on Scopus |
| Download/View statistics | View download statistics for this item |
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