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 …

The clinical utility of the continuous performance test and objective measures of activity for diagnosing and monitoring ADHD in children: A systematic review

CL Hall, AZ Valentine, MJ Groom, GM Walker… - European child & …, 2016 - Springer
Attention-deficit hyperactivity disorder (ADHD) is typically diagnosed using clinical
observation and subjective informant reports. Once children commence ADHD medication …

[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 …

Me, my health, and my watch: How children with ADHD understand smartwatch health data

EA Ankrah, FL Cibrian, LM Silva… - ACM Transactions on …, 2023 - dl.acm.org
Children with ADHD can experience a wide variety of challenges related to self-regulation,
which can lead to poor educational, health, and wellness outcomes. Technological …

The education context for twice-exceptional students: An overview of issues in special and gifted education

S King - Neurobiology of learning and memory, 2022 - Elsevier
Abstract Twice-exceptional children (2e) identified as having a disability and areas of high
ability require a diverse range of support and enrichment services. However, services …

User profiles of an electronic mental health tool for ecological momentary assessment: MEmind

ML Barrigón, S Berrouiguet, JJ Carballo… - … journal of methods …, 2017 - Wiley Online Library
Ecological momentary assessment (EMA) is gaining importance in psychiatry. This article
assesses the characteristics of patients who used a new electronic EMA tool: the MEmind …

Artificial intelligence based techniques for the detection of socio-behavioral disorders: a systematic review

M Mengi, D Malhotra - Archives of Computational Methods in Engineering, 2022 - Springer
In new era of emerging technologies, diagnosing the neurodevelopmental disorders at the
primitive stage has led to a rise in the development of automated diagnostic systems. Socio …

Deep-learning-based ADHD classification using children's skeleton data acquired through the ADHD screening game

W Lee, D Lee, S Lee, K Jun, MS Kim - Sensors, 2022 - mdpi.com
The identification of attention deficit hyperactivity disorder (ADHD) in children, which is
increasing every year worldwide, is very important for early diagnosis and treatment …

Automatic extraction and detection of characteristic movement patterns in children with ADHD based on a convolutional neural network (CNN) and acceleration …

M Muñoz-Organero, L Powell, B Heller, V Harpin… - Sensors, 2018 - mdpi.com
Attention deficit and hyperactivity disorder (ADHD) is a neurodevelopmental disorder, which
is characterized by inattention, hyperactivity and impulsive behaviors. In particular, children …

Clinical validation of eye vergence as an objective marker for diagnosis of ADHD in children

P Varela Casal, F Lorena Esposito… - Journal of Attention …, 2019 - journals.sagepub.com
Objective: ADHD youth show poor oculomotor control. Recent research shows that attention-
related eye vergence is weak in ADHD children. Method: To validate vergence as a marker …