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Published in 2020 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2020.00641
Abstract: A novel analytical framework combined fuzzy learning and complex network approaches is proposed for the identification of Alzheimer's disease (AD) with multichannel scalp-recorded electroencephalograph (EEG) signals. Weighted visibility graph (WVG) algorithm is first applied to…
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Keywords:
fuzzy learning;
eeg;
network;
identification alzheimer ... See more keywords