Attention deficit hyperactivity disorder detection using deep learning approach

MA Hamim, FM Tanmoy, O Tasfia… - 2023 14th International …, 2023 - ieeexplore.ieee.org
ADHD, a neurodevelopmental disorder characterized by hyperactivity, inattention, and
impulsivity, has many detrimental impacts and is out of proportion to age. ADHD causes …

Classification of Children With Attention-Deficit Hyperactivity Disorder Using Wigner-Ville Time-Frequency and Deep expEEGNetwork Feature-Based Computational …

Y Sharma, BK Singh - IEEE Transactions on Medical Robotics …, 2023 - ieeexplore.ieee.org
Attention-deficit hyperactivity disorder (ADHD) is a globally prevalent, chronic childhood
neurodevelopmental disorder that may persist into adulthood. Early medical intervention can …

Decision support algorithm for diagnosis of ADHD using electroencephalograms

B Abibullaev, J An - Journal of medical systems, 2012 - Springer
Attention deficit hyperactivity disorder is a complex brain disorder which is usually difficult to
diagnose. As a result many literature reports about the increasing rate of misdiagnosis of …

Identifying individuals with attention deficit hyperactivity disorder based on temporal variability of dynamic functional connectivity

XH Wang, Y Jiao, L Li - Scientific reports, 2018 - nature.com
Attention deficit hyperactivity disorder (ADHD) is a common disorder that emerges in school-
age children. The diagnostic model based on neuroimaging features could be beneficial for …

Evaluation of pattern recognition and feature extraction methods in ADHD prediction

JR Sato, MQ Hoexter, A Fujita… - Frontiers in systems …, 2012 - frontiersin.org
Attention Deficit/Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder, being
one of the most prevalent psychiatric disorders in childhood. The neural substrates …

Connectome-wide association analysis identified significant brain functional alteration in adults with attention-deficit/hyperactivity disorder

L Liu, D Chen, F Huang, T Jia, M Pan, M Zhao, X Bu… - bioRxiv, 2021 - biorxiv.org
Adults with attention-deficit/hyperactivity disorder (ADHD), as an extreme-phenotype of
ADHD, is still facing problems of inconsistency and undeciphered mechanisms for its …

ADHD classification combining biomarker detection with attention auto-encoding neural network

Y Chen, Y Gao, A Jiang, Y Tang, C Wang - Biomedical Signal Processing …, 2023 - Elsevier
Abstract Attention Deficit Hyperactivity Disorder (ADHD) is one of most prevalent
neurodevelopmental disorders in children. In decades, various neurobiological diagnosis …

Diagnose ADHD disorder in children using convolutional neural network based on continuous mental task EEG

M Moghaddari, MZ Lighvan, S Danishvar - Computer Methods and …, 2020 - Elsevier
Abstract Background and objective Attention-Deficit/Hyperactivity Disorder (ADHD) is a
chronic behavioral disorder in children. Children with ADHD face many difficulties in …

[HTML][HTML] Pediatric ADHD symptom burden relates to distinct neural activity across executive function domains

T Nugiel, MA Roe, LE Engelhardt, ME Mitchell… - NeuroImage: Clinical, 2020 - Elsevier
Attention-deficit/hyperactivity disorder (ADHD) is a prevalent childhood disorder marked by
inattention and/or hyperactivity symptoms. ADHD may also relate to impaired executive …

A novel knowledge distillation-based feature selection for the classification of ADHD

NA Khan, SA Waheeb, A Riaz, X Shang - Biomolecules, 2021 - mdpi.com
Attention Deficit Hyperactivity Disorder (ADHD) is a brain disorder with characteristics such
as lack of concentration, excessive fidgeting, outbursts of emotions, lack of patience …