☆ 4.6 Article

TMP19: A Novel Ternary Motif Pattern-Based ADHD Detection Model Using EEG Signals

DIAGNOSTICS (2022)

Related references

Note: Only part of the references are listed.

Article Biology

Automated classification of attention deficit hyperactivity disorder and conduct disorder using entropy features with ECG signals

Joel E. W. Koh et al.

Summary: ADHD and CD are the most prevalent neuropsychiatric disorders among children, and the lack of definitive diagnostic tests makes diagnosis challenging. Distinguishing between these three disorders is crucial for treatment and prognosis. Our model achieved good classification results by analyzing ECG signals.

COMPUTERS IN BIOLOGY AND MEDICINE (2022)

Add to Collection

Article Biology

Automated detection of ADHD: Current trends and future perspective

Hui Wen Loh et al.

Summary: ADHD is a complex disorder affecting brain neurodevelopment with challenging diagnosis often delayed. Artificial intelligence may play a crucial role in improving early diagnosis efficiency. Research has identified machine learning and deep learning tools for ADHD diagnosis, yet gaps exist in data availability and limited use of wearable device data.

COMPUTERS IN BIOLOGY AND MEDICINE (2022)

Add to Collection

Review Computer Science, Interdisciplinary Applications

Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011-2022)

Hui Wen Loh et al.

Summary: This study focuses on the application areas of XAI technology in healthcare, emphasizing the need for more attention from the XAI research community in detecting abnormalities in 1D biosignals and identifying key text in clinical notes.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2022)

Add to Collection

Article Engineering, Biomedical

Effects of spectral features of EEG signals recorded with different channels and recording statuses on ADHD classification with deep learning

Mustafa Tosun

Summary: This study analyzed the effects of photic stimuli at different frequencies and on different channels on ADHD diagnosis, and found that the potential difference between Fp1, F7 electrodes in the eyes-closed resting state proved to be effective in diagnosing ADHD.

PHYSICAL AND ENGINEERING SCIENCES IN MEDICINE (2021)

Add to Collection

Article Acoustics

FusedTSNet: An automated nocturnal sleep sound classification method based on a fused textural and statistical feature generation network

Erhan Akbal et al.

Summary: Many people suffer from sleep disorders, which can be diagnosed by analyzing nocturnal sleep sounds. This study introduces a FusedTSNet method for automated sleep disease diagnosis, achieving a high classification rate of 98.0% on a nocturnal sound dataset.

APPLIED ACOUSTICS (2021)

Add to Collection

Article Biology

PrimePatNet87: Prime pattern and tunable q-factor wavelet transform techniques for automated accurate EEG emotion recognition

Abdullah Dogan et al.

Summary: A hand-crafted conventional EEG emotion classification network was developed using prime pattern and TQWT techniques to classify human emotions automatically. The proposed PrimePatNet87 model achieved over 99% classification accuracy on multiple publicly available datasets, demonstrating high efficiency and accuracy.

COMPUTERS IN BIOLOGY AND MEDICINE (2021)

Add to Collection

Article Computer Science, Interdisciplinary Applications

Automated detection of conduct disorder and attention deficit hyperactivity disorder using decomposition and nonlinear techniques with EEG signals

Hui Tian Tor et al.

Summary: A novel automated system using brain signals was developed to classify ADHD, CD, and ADHD + CD with a highest accuracy of 97.88%. This system can potentially aid clinicians in faster and more accurate diagnosis and treatment for children with ADHD and/or CD. Further testing with larger data is required before clinical applications can be considered.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2021)

Add to Collection

Article Chemistry, Analytical

Detecting Attention Levels in ADHD Children with a Video Game and the Measurement of Brain Activity with a Single-Channel BCI Headset

Almudena Serrano-Barroso et al.

Summary: Attentional biomarkers in ADHD can be challenging to detect with only behavioral testing. This study used a low-cost EEG system and the GokEvolution application to measure attention, showing its potential for early detection of attentional issues in children, particularly in the ADHD group.

SENSORS (2021)

Add to Collection

Review Psychiatry

Genetic variations influence brain changes in patients with attention-deficit hyperactivity disorder

Santosh K. Yadav et al.

Summary: ADHD is a childhood-onset neurological disorder characterized by symptoms like inattentiveness, impulsiveness, restlessness, and hyperactivity, which may persist into adulthood. Genetic predisposition, neurodevelopmental issues, brain injuries, neuroinflammation, consanguineous marriages, premature birth, and environmental toxins are some contributing factors. Neuroimaging and molecular genomics can help explore the genetic variations impacting ADHD neuropsychobiology.

TRANSLATIONAL PSYCHIATRY (2021)

Add to Collection

Article Psychology, Developmental

Comparison of Quality of Life, Productivity, Functioning and Self-Esteem in Adults Diagnosed With ADHD and With Symptomatic ADHD

Manjiri Pawaskar et al.

JOURNAL OF ATTENTION DISORDERS (2020)

Add to Collection

Review Psychology, Developmental

Individual Participant Data Meta-analysis: Impact of Conduct Problem Severity, Comorbid Attention-Deficit/Hyperactivity Disorder and Emotional Problems, and Maternal Depression on Parenting Program Effects

Patty Leijten et al.

JOURNAL OF THE AMERICAN ACADEMY OF CHILD AND ADOLESCENT PSYCHIATRY (2020)

Add to Collection

Article Neurosciences

Deep Learning Convolutional Neural Networks Discriminate Adult ADHD From Healthy Individuals on the Basis of Event-Related Spectral EEG

Laura Dubreuil-Vall et al.

FRONTIERS IN NEUROSCIENCE (2020)

Add to Collection

Article Computer Science, Interdisciplinary Applications

Diagnose ADHD disorder in children using convolutional neural network based on continuous mental task EEG

Majid Moghaddari et al.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2020)

Add to Collection

Article Psychology, Developmental

Increased risk of developing psychiatric disorders in children with attention deficit and hyperactivity disorder (ADHD) receiving sensory integration therapy: a population-based cohort study

Ruu-Fen Tzang et al.

EUROPEAN CHILD & ADOLESCENT PSYCHIATRY (2019)

Add to Collection

Article Psychiatry

Hyperactivity/restlessness is associated with increased functional connectivity in adults with ADHD: a dimensional analysis of resting state fMRI

Peter Soeroes et al.

BMC PSYCHIATRY (2019)

Add to Collection

Article Computer Science, Artificial Intelligence

A deep learning framework for identifying children with ADHD using an EEG-based brain network

He Chen et al.

NEUROCOMPUTING (2019)

Add to Collection

Article Psychology, Developmental

Age level vs grade level for the diagnosis of ADHD and neurodevelopmental disorders

Maurizio Bonati et al.

EUROPEAN CHILD & ADOLESCENT PSYCHIATRY (2018)

Add to Collection

Article Psychiatry

Early diagnosis and treatment of ADHD are important for a secure transition to adolescence

Oguzhan Zahmacioglu et al.

ANADOLU PSIKIYATRI DERGISI-ANATOLIAN JOURNAL OF PSYCHIATRY (2017)

Add to Collection

Editorial Material Psychology, Developmental

Commentary: Objective aids for the assessment of ADHD - further clarification of what FDA approval for marketing means and why NEBA might help clinicians. A response to Arns et al. (2016)

Mark A. Stein et al.

JOURNAL OF CHILD PSYCHOLOGY AND PSYCHIATRY (2016)

Add to Collection

Article Engineering, Biomedical

EEG Classification of ADHD and Normal Children Using Non-linear Features and Neural Network

Mohammad Reza Mohammadi et al.

BIOMEDICAL ENGINEERING LETTERS (2016)

Add to Collection

Article Psychology, Biological

Machine learning approach for classification of ADHD adults

Aleksandar Tenev et al.

INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY (2014)

Add to Collection

Article Psychiatry

Use of EEG to Diagnose ADHD

Agatha Lenartowicz et al.

CURRENT PSYCHIATRY REPORTS (2014)

Add to Collection

Article Psychology, Clinical

Deficient emotional self-regulation and pediatric attention deficit hyperactivity disorder: a family risk analysis

J. Biederman et al.

PSYCHOLOGICAL MEDICINE (2012)

Add to Collection

Article Engineering, Electrical & Electronic

Wavelet Transform With Tunable Q-Factor

Ivan W. Selesnick

IEEE TRANSACTIONS ON SIGNAL PROCESSING (2011)

Add to Collection

Review Psychology, Developmental

A Critical Review of ADHD Diagnostic Criteria: What to Address in the DSM-V

Allison S. Bell

JOURNAL OF ATTENTION DISORDERS (2011)

Add to Collection

Article Medicine, General & Internal

Cognitive Behavioral Therapy vs Relaxation With Educational Support for Medication-Treated Adults With ADHD and Persistent Symptoms A Randomized Controlled Trial

Steven A. Safren et al.

JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2010)

Add to Collection

Review Psychiatry

Prevalence and correlates of adult attention-deficit hyperactivity disorder: meta-analysis

Viktoria Simon et al.

BRITISH JOURNAL OF PSYCHIATRY (2009)

Add to Collection

Article Psychology, Developmental

ADHD and gender:: are risks and sequela of ADHD the same for boys and girls?

Jos J. Bauermeister et al.

JOURNAL OF CHILD PSYCHOLOGY AND PSYCHIATRY (2007)

Add to Collection

Article Neurosciences

Validity of the executive function theory of attention-deficit/hyperactivity disorder: A meta-analytic review

EG Willcutt et al.

BIOLOGICAL PSYCHIATRY (2005)

Add to Collection

© Peeref 2019-2024. All rights reserved.