An Approach toward Artificial Intelligence Alzheimer's Disease Diagnosis Using Brain Signals.

Seyed-Ali Sadegh-ZadehElham FakhriMahboobe BahramiElnaz BagheriRazieh KhamsehashariMaryam NoroozianAmir M Hajiyavand

Published in: Diagnostics (Basel, Switzerland) (2023)

In this work, using EEG data, we were able to successfully detect three classes: AD, MCI, and HC. In comparison to the pre-augmentation stage, the accuracy gained in the classification of the three classes increased by 3% when the VAE model added additional data. As a result, it is clear how useful EEG data augmentation methods are for classes with smaller sample numbers.

Keyphrases

artificial intelligence
big data
machine learning
electronic health record
resting state
deep learning
functional connectivity
mild cognitive impairment
soft tissue
data analysis
cerebral ischemia
high density