Automated detection of ADHD: Current trends and future perspective

HW Loh, CP Ooi, PD Barua, EE Palmer… - Computers in Biology …, 2022 - Elsevier
Attention deficit hyperactivity disorder (ADHD) is a heterogenous disorder that has a
detrimental impact on the neurodevelopment of the brain. ADHD patients exhibit …

A systematic survey of computer-aided diagnosis in medicine: Past and present developments

J Yanase, E Triantaphyllou - Expert Systems with Applications, 2019 - Elsevier
Computer-aided diagnosis (CAD) in medicine is the result of a large amount of effort
expended in the interface of medicine and computer science. As some CAD systems in …

[HTML][HTML] Earlier versus later cognitive event-related potentials (ERPs) in attention-deficit/hyperactivity disorder (ADHD): a meta-analysis

A Kaiser, PM Aggensteiner, S Baumeister… - Neuroscience & …, 2020 - Elsevier
The current meta-analysis summarizes relevant literature on earlier (P100, N100, P200,
N200, ERN/Ne) versus later (P300, Pe, CNV) cognitive Event-Related Potential (ERP) …

Comparison of medical and consumer wireless EEG systems for use in clinical trials

E Ratti, S Waninger, C Berka, G Ruffini… - Frontiers in human …, 2017 - frontiersin.org
Objectives: To compare quantitative EEG signal and test-retest reliability of medical grade
and consumer EEG systems. Methods: Resting state EEG was acquired by two medical …

Automated classification of attention deficit hyperactivity disorder and conduct disorder using entropy features with ECG signals

JEW Koh, CP Ooi, NSJ Lim-Ashworth, J Vicnesh… - Computers in biology …, 2022 - Elsevier
Background The most prevalent neuropsychiatric disorder among children is attention deficit
hyperactivity disorder (ADHD). ADHD presents with a high prevalence of comorbid disorders …

Children and adolescents with ADHD followed up to adulthood: A systematic review of long-term outcomes

R Di Lorenzo, J Balducci, C Poppi, E Arcolin… - Acta …, 2021 - cambridge.org
The objective is to highlight the clinical and social outcomes among adults who suffered
from Attention-Deficit Hyperactivity Disorder (ADHD) in their childhood/adolescence …

EEG classification of ADHD and normal children using non-linear features and neural network

MR Mohammadi, A Khaleghi, AM Nasrabadi… - Biomedical Engineering …, 2016 - Springer
Abstract Purpose Attention-Deficit Hyperactivity Disorder (ADHD) is a neuro-developmental
disorder that is characterized by hyperactivity, inattention and abrupt behaviors. This study …

Deep learning convolutional neural networks discriminate adult ADHD from healthy individuals on the basis of event-related spectral EEG

L Dubreuil-Vall, G Ruffini, JA Camprodon - Frontiers in neuroscience, 2020 - frontiersin.org
Attention deficit hyperactivity disorder (ADHD) is a heterogeneous neurodevelopmental
disorder that affects 5% of the pediatric and adult population worldwide. The diagnosis …

Developmental change in the resting state electroencephalogram: Insights into cognition and the brain

AJ Anderson, S Perone - Brain and cognition, 2018 - Elsevier
Resting state electroencephalography (RS-EEG) is a commonly used neurophysiological
technique which provides a measure of brain activity when an individual is awake and not …

[HTML][HTML] Attention-deficit/hyperactivity disorder: diagnostic criteria, epidemiology, risk factors and evaluation in youth

MDI Cabral, S Liu, N Soares - Translational pediatrics, 2020 - ncbi.nlm.nih.gov
Attention-deficit/hyperactivity disorder (ADHD) is the most common neurodevelopmental
disorder in childhood with persistence into adulthood. It has a multifactorial etiology. Its …