W Lajara-Nanson

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OBJECTIVE We explored the ability of specifically designed and trained recurrent neural networks (RNNs), combined with wavelet preprocessing, to discriminate between the electroencephalograms (EEGs) of patients with mild Alzheimer's disease (AD) and their age-matched control subjects. METHODS Twomin recordings of resting eyes-closed continuous EEGs (as(More)
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