Automated detection of ADHD: Current trends and future perspective
Attention deficit hyperactivity disorder (ADHD) is a heterogenous disorder that has a
detrimental impact on the neurodevelopment of the brain. ADHD patients exhibit …
detrimental impact on the neurodevelopment of the brain. ADHD patients exhibit …
Artificial intelligence enabled personalised assistive tools to enhance education of children with neurodevelopmental disorders—a review
Mental disorders (MDs) with onset in childhood or adolescence include
neurodevelopmental disorders (NDDs)(intellectual disability and specific learning …
neurodevelopmental disorders (NDDs)(intellectual disability and specific learning …
Automated detection of conduct disorder and attention deficit hyperactivity disorder using decomposition and nonlinear techniques with EEG signals
HT Tor, CP Ooi, NSJ Lim-Ashworth, JKE Wei… - Computer Methods and …, 2021 - Elsevier
Background and objectives Attention deficit hyperactivity disorder (ADHD) is often presented
with conduct disorder (CD). There is currently no objective laboratory test or diagnostic …
with conduct disorder (CD). There is currently no objective laboratory test or diagnostic …
Automated classification of attention deficit hyperactivity disorder and conduct disorder using entropy features with ECG signals
Background The most prevalent neuropsychiatric disorder among children is attention deficit
hyperactivity disorder (ADHD). ADHD presents with a high prevalence of comorbid disorders …
hyperactivity disorder (ADHD). ADHD presents with a high prevalence of comorbid disorders …
Diagnosis and prognosis of mental disorders by means of EEG and deep learning: a systematic mapping study
Electroencephalography (EEG) is used in the diagnosis and prognosis of mental disorders
because it provides brain biomarkers. However, only highly trained doctors can interpret …
because it provides brain biomarkers. However, only highly trained doctors can interpret …
VHERS: a novel variational mode decomposition and Hilbert transform-based EEG rhythm separation for automatic ADHD detection
Attention deficit hyperactivity disorder (ADHD) is an isogenous pattern of hyperactivity,
impulsivity, and inattention, resulting in disorders like anxiety, disability in learning, and …
impulsivity, and inattention, resulting in disorders like anxiety, disability in learning, and …
[HTML][HTML] Deep learning applied to electroencephalogram data in mental disorders: A systematic review
In recent medical research, tremendous progress has been made in the application of deep
learning (DL) techniques. This article systematically reviews how DL techniques have been …
learning (DL) techniques. This article systematically reviews how DL techniques have been …
Investigation of machine learning methods for early prediction of neurodevelopmental disorders in children
Several variables, for instance, inheritance and surroundings, influence the growth of
neurodevelopmental disorders, eg, autism spectrum disorder (ASD) and attention deficit …
neurodevelopmental disorders, eg, autism spectrum disorder (ASD) and attention deficit …
ADHD detection using dynamic connectivity patterns of EEG data and ConvLSTM with attention framework
M Bakhtyari, S Mirzaei - Biomedical Signal Processing and Control, 2022 - Elsevier
Attention deficit hyperactivity disorder (ADHD) is a neurodevelopmental behavioral disorder.
It is common in children, can be carried over into adulthood, and is associated with …
It is common in children, can be carried over into adulthood, and is associated with …
[HTML][HTML] Insight into ADHD diagnosis with deep learning on Actimetry: Quantitative interpretation of occlusion maps in age and gender subgroups
P Amado-Caballero, P Casaseca-de-la-Higuera… - Artificial Intelligence in …, 2023 - Elsevier
Abstract Attention Deficit/Hyperactivity Disorder (ADHD) is a prevalent neurodevelopmental
disorder in childhood that often persists into adulthood. Objectively diagnosing ADHD can …
disorder in childhood that often persists into adulthood. Objectively diagnosing ADHD can …