MCI Detection Using Kernel Eigen-Relative-Power Features of EEG Signals
MCI Detection Using Kernel Eigen-Relative-Power Features of EEG Signals
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Basel: MDPI AG
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English
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Basel: MDPI AG
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Classification between individuals with mild cognitive impairment (MCI) and healthy controls (HC) based on electroencephalography (EEG) has been considered a challenging task to be addressed for the purpose of its early detection. In this study, we proposed a novel EEG feature, the kernel eigen-relative-power (KERP) feature, for achieving high clas...
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MCI Detection Using Kernel Eigen-Relative-Power Features of EEG Signals
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TN_cdi_doaj_primary_oai_doaj_org_article_1d599645b07d4982bee1336b0e9f7df3
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_1d599645b07d4982bee1336b0e9f7df3
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ISSN
2076-0825
E-ISSN
2076-0825
DOI
10.3390/act10070152
