EEG-Based ADHD Classification Using Autoencoder Feature Extraction and ResNet with Double Augmented Attention Mechanism

EEG-Based ADHD Classification Using Autoencoder Feature Extraction and ResNet with Double Augmented Attention Mechanism

Background: Attention-Deficit/Hyperactivity Disorder (ADHD) represents a widely prevalent and heterogeneous neurodevelopmental condition in pediatric populations, often exhibiting a substantial propensity to persist into adulthood. ADHD is a multifaceted disorder that resists straightforward diagnos...

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Bibliographic Details
Main Authors: Jayoti Bansal, Gaurav Gangwar, Mohammad Aljaidi, Ali Alkoradees, Gagandeep Singh
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Brain Sciences
Subjects:
ADHD
ResNet
double augmented attention mechanism
EEG
auto encoder
reptile search algorithm
Online Access:https://www.mdpi.com/2076-3425/15/1/95
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