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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 …
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 …
observation and subjective informant reports. Once children commence ADHD medication …
Me, my health, and my watch: how children with ADHD understand smartwatch health data
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 …
which can lead to poor educational, health, and wellness outcomes. Technological …
[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 …
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 …
assesses the characteristics of patients who used a new electronic EMA tool: the MEmind …
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 …
ability require a diverse range of support and enrichment services. However, services …
Deep-learning-based ADHD classification using children's skeleton data acquired through the ADHD screening game
The identification of attention deficit hyperactivity disorder (ADHD) in children, which is
increasing every year worldwide, is very important for early diagnosis and treatment …
increasing every year worldwide, is very important for early diagnosis and treatment …
Lemurdx: using unconstrained passive sensing for an objective measurement of hyperactivity in children with no parent input
Hyperactivity is the most dominant presentation of Attention-Deficit/Hyperactivity Disorder in
young children. Currently, measuring hyperactivity involves parents' or teachers' reports …
young children. Currently, measuring hyperactivity involves parents' or teachers' reports …
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 …
primitive stage has led to a rise in the development of automated diagnostic systems. Socio …
Automatic extraction and detection of characteristic movement patterns in children with ADHD based on a convolutional neural network (CNN) and acceleration …
Attention deficit and hyperactivity disorder (ADHD) is a neurodevelopmental disorder, which
is characterized by inattention, hyperactivity and impulsive behaviors. In particular, children …
is characterized by inattention, hyperactivity and impulsive behaviors. In particular, children …