An Integrated MCI Detection Framework Based on Spectral-temporal Analysis

[img]
Preview
7.IJAC-2019-04-084(1).pdf - Accepted Version (1MB) | Preview

Yin, Jiao, Cao, Jinli, Siuly, Siuly ORCID: 0000-0003-2491-0546 and Wang, Hua ORCID: 0000-0002-8465-0996 (2019) An Integrated MCI Detection Framework Based on Spectral-temporal Analysis. International Journal of Automation and Computing, 16 (6). pp. 786-799. ISSN 1476-8186

Dimensions Badge

Altmetric Badge

Additional Information

This is a post-peer-review, pre-copyedit version of an article published in International Journal of Automation and Computing. The final authenticated version is available online

Item type Article
URI https://vuir.vu.edu.au/id/eprint/41033
DOI https://doi.org/10.1007/s11633-019-1197-4
Official URL https://link.springer.com/article/10.1007%2Fs11633...
Subjects Current > FOR Classification > 0801 Artificial Intelligence and Image Processing
Current > Division/Research > Institute for Sustainable Industries and Liveable Cities
Keywords Alzheimer's disease; mild cognitive impairment; MCI; electroencephalogram; EEG; support vector machine; SVM; algorithm; spectral-temporal feature extraction
Citations in Scopus 5 - View on Scopus
Download/View statistics View download statistics for this item

Search Google Scholar

Repository staff login