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Published in 2022 at "Frontiers in Aging Neuroscience"
DOI: 10.3389/fnagi.2022.773692
Abstract: Background Cognitive decline remains highly underdiagnosed despite efforts to find novel cognitive biomarkers. Electroencephalography (EEG) features based on machine-learning (ML) may offer a non-invasive, low-cost approach for identifying cognitive decline. However, most studies use cumbersome…
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Keywords:
eeg features;
cognitive states;
eeg;
single channel ... See more keywords