Detecting Brain activity in ADHD children and healthy controls using Machine Learning Techniques
P Natarajan, S Madanian - … of the 2024 Australasian Computer Science …, 2024 - dl.acm.org
This study focuses on Attention Deficit Hyperactivity Disorder (ADHD), a
neurodevelopmental disorder that affects both children and adults. Individuals with ADHD …
neurodevelopmental disorder that affects both children and adults. Individuals with ADHD …
ADHD classification using auto-encoding neural network and binary hypothesis testing
Abstract Attention Deficit Hyperactivity Disorder (ADHD) is a highly prevalent
neurodevelopmental disease of school-age children. Early diagnosis is crucial for ADHD …
neurodevelopmental disease of school-age children. Early diagnosis is crucial for ADHD …
Machine learning and adhd mental health detection-a short survey
C Nash, R Nair, SM Naqvi - 2022 25th International Conference …, 2022 - ieeexplore.ieee.org
This paper explores the current machine learning based methods used to identify Attention
Deficit Hyperactivity Disorder (ADHD) in humans. With ADHD being one of the most …
Deficit Hyperactivity Disorder (ADHD) in humans. With ADHD being one of the most …
Objective ADHD diagnosis using convolutional neural networks over daily-life activity records
P Amado-Caballero… - IEEE journal of …, 2020 - ieeexplore.ieee.org
Attention Deficit/Hyperactivity Disorder (ADHD) is the most common neurobehavioral
disorder in children and adolescents. However, its etiology is still unknown, and this hinders …
disorder in children and adolescents. However, its etiology is still unknown, and this hinders …
A Survey of Attention Deficit Hyperactivity Disorder Identification Using Psychophysiological Data.
SD Silva, S Dayarathna, G Ariyarathne… - … Journal of Online & …, 2019 - search.ebscohost.com
Abstract Attention Deficit Hyperactivity Disorder (ADHD) is one of the most common
neurological disorders among children, that affects different areas in the brain that allows …
neurological disorders among children, that affects different areas in the brain that allows …
Regional contribution in electrophysiological-based classifications of attention deficit hyperactive disorder (ADHD) using machine learning
N Chauhan, BJ Choi - Computation, 2023 - mdpi.com
Attention deficit hyperactivity disorder (ADHD) is a common neurodevelopmental condition
in children and is characterized by challenges in maintaining attention, hyperactivity, and …
in children and is characterized by challenges in maintaining attention, hyperactivity, and …
Investigating current state-of-the-art applications of supportive technologies for individuals with ADHD
F Husain - arXiv preprint arXiv:2005.09993, 2020 - arxiv.org
Attention Deficit Hyperactivity Disorder (ADHD) is a chronic mental and behavioral disorder
that interferes with everyday activities and has three core symptoms: inattention …
that interferes with everyday activities and has three core symptoms: inattention …
ADHD diagnosis from multiple data sources with batch effects
The Attention Deficit Hyperactivity Disorder (ADHD) affects the school-age population and
has large social costs. The scientific community is still lacking a pathophysiological model of …
has large social costs. The scientific community is still lacking a pathophysiological model of …
Wearable Motion Sensors in the Detection of ADHD: A Critical Review
Attention deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder with
inattention, hyperactivity, and impulsivity as core symptoms. Current diagnostic methods of …
inattention, hyperactivity, and impulsivity as core symptoms. Current diagnostic methods of …
Task-rate-related neural dynamics using wireless EEG to assist diagnosis and intervention planning for preschoolers with ADHD exhibiting heterogeneous cognitive …
IC Chen, CL Chen, CH Chang, ZC Fan… - Journal of Personalized …, 2022 - mdpi.com
This study used a wireless EEG system to investigate neural dynamics in preschoolers with
ADHD who exhibited varying cognitive proficiency pertaining to working memory and …
ADHD who exhibited varying cognitive proficiency pertaining to working memory and …