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, Alcin, OF, Kabir, E, Sengur, A, 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 https://doi.org/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 10 - View on Scopus
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