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In this paper, the complexity and approximate entropy algorithm are used to extract the features of electroencephalogram(EEG) in patients with Alzheimer's disease(AD) and normal people under open-eye resting state, and these features are used as indicators to analyze the early EEG characteristics of AD. The EEG data are collected from 15 AD patients and 15 normal subjects under resting open-eye state...