Deep Convolutional Neural Network-Based Visual Stimuli Classification Using Electroencephalography Signals of Healthy and Alzheimer’s Disease Subjects

Deep Convolutional Neural Network-Based Visual Stimuli Classification Using Electroencephalography Signals of Healthy and Alzheimer’s Disease Subjects

Visual perception is an important part of human life. In the context of facial recognition, it allows us to distinguish between emotions and important facial features that distinguish one person from another. However, subjects suffering from memory loss face significant facial processing problems. I...

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Bibliographic Details
Main Authors: Dovilė Komolovaitė, Rytis Maskeliūnas, Robertas Damaševičius
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Life
Subjects:
Alzheimer’s disease
electroencephalogram
SSVEP
visual stimuli classification
face inversion
generative adversarial networks
Online Access:https://www.mdpi.com/2075-1729/12/3/374

Internet

https://www.mdpi.com/2075-1729/12/3/374

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