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 …
Trends, limits, and challenges of computer technologies in attention deficit hyperactivity disorder diagnosis and treatment
R Montaleão Brum Alves… - … , Behavior, and Social …, 2022 - liebertpub.com
Attention deficit hyperactivity disorder (ADHD) is a neurobiological condition that appears
during an individual's childhood and may follow her/him for life. The research objective was …
during an individual's childhood and may follow her/him for life. The research objective was …
A CNN-LSTM network for classification of attention deficit hyperactivity disorder from EEG Data
Y Zhang, X Tan, GU Yue - 2022 41st Chinese Control …, 2022 - ieeexplore.ieee.org
Attention deficit hyperactivity disorder (ADHD) is one of the most common neuropsychiatric
disorders in children, with core symptoms of inattention, impulsivity, and hyperactivity. As a …
disorders in children, with core symptoms of inattention, impulsivity, and hyperactivity. As a …
Detection of attention deficit hyperactivity disorder using electroencephalogram signals: a review
JN Kiro, BB Sinha, M Kumari… - Artificial Intelligence: A …, 2024 - iopscience.iop.org
Chapter 4 discusses how EEG signals can be used for the detection of attention deficit
hyperactivity disorder (ADHD) using machine learning and/or deep learning techniques, as …
hyperactivity disorder (ADHD) using machine learning and/or deep learning techniques, as …
The classification of ADHD using machine learning and EEG data: a systematic review
A Rasi - 2024 - figshare.utas.edu.au
Attention deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder that spans
a diverse range of symptoms such as inattention, impulsiveness, and hyperactivity. The …
a diverse range of symptoms such as inattention, impulsiveness, and hyperactivity. The …
Detecting ADHD Among Children Using EEG Signals
Abstract Attention Deficit Hyperactivity Disorder (ADHD) is a persistent physiological
disorder in kids. Youngsters with ADHD experience numerous challenges in keeping up …
disorder in kids. Youngsters with ADHD experience numerous challenges in keeping up …
Interpretable Diagnosis of ADHD Based on Wavelet Features and Logistic Regression
JD Pastrana-Cortes, MC Maya-Piedrahita… - … Workshop on Artificial …, 2021 - Springer
Despite arising in childhood, attention deficit hyperactivity disorder (ADHD) can persist into
adulthood, compromising the individual's social skills. ADHD diagnosis is a real challenge …
adulthood, compromising the individual's social skills. ADHD diagnosis is a real challenge …
Interpretable Diagnosis of ADHD Based on Wavelet Features and Logistic Regression
AA Orozco-Gutierrez - … , IWAIPR 2021, Havana, Cuba, October 5 …, 2021 - books.google.com
Despite arising in childhood, attention deficit hyperactivity disorder (ADHD) can persist into
adulthood, compromising the individual's social skills. ADHD diagnosis is a real challenge …
adulthood, compromising the individual's social skills. ADHD diagnosis is a real challenge …