论文信息 - Spectral analysis of predictive error in Alzheimer's disease diagnostics

Spectral analysis of predictive error in Alzheimer's disease diagnostics

The new method is based on non-linear one-step predictor, which is designed as MLP neural network. It is a kind of low-pass non-linear filter. The difference between raw EEG and the ANN output is then a subject of band spectral analysis. The differences in this power spectrum between Alzheimer’s diseased and control patient group are statistically significant.

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