Fusion of Age-Residualized Engineered Sleep Features with Raw EEG for Predicting Future Cognitive Impairment

K. Cha Joung-Bae Choi Hyo-Yeon Cho

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TL;DR

A hybrid system to predict a diagnosis of cognitive impairment recorded one to six years after polysomnography and an engineered branch combined demographics, stage-specific electroencephalogram (EEG) features, and automated-annotation descriptors were developed.

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