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 …

[HTML][HTML] The role of quantitative EEG in the diagnosis of neuropsychiatric disorders

LL Popa, H Dragos, C Pantelemon… - Journal of medicine …, 2020 - ncbi.nlm.nih.gov
Quantitative electroencephalography (QEEG) is a modern type of electroencephalography
(EEG) analysis that involves recording digital EEG signals which are processed …

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

HT Tor, CP Ooi, NSJ Lim-Ashworth, JKE Wei… - Computer Methods and …, 2021 - Elsevier
Background and objectives Attention deficit hyperactivity disorder (ADHD) is often presented
with conduct disorder (CD). There is currently no objective laboratory test or diagnostic …

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

JEW Koh, CP Ooi, NSJ Lim-Ashworth, J Vicnesh… - Computers in biology …, 2022 - Elsevier
Background The most prevalent neuropsychiatric disorder among children is attention deficit
hyperactivity disorder (ADHD). ADHD presents with a high prevalence of comorbid disorders …

Detection and Classification of ADHD from EEG Signals Using Tunable Q‐Factor Wavelet Transform

RC Joy, ST George, AA Rajan… - Journal of …, 2022 - Wiley Online Library
The automatic identification of Attention Deficit Hyperactivity Disorder (ADHD) is essential for
developing ADHD diagnosis tools that assist healthcare professionals. Recently, there has …

Infant crying classification by using genetic algorithm and artificial neural network

A Bashiri, R Hosseinkhani - Acta Medica Iranica, 2020 - acta.tums.ac.ir
Cry as the only way of communication of babies with the surrounding environment can be
happened for many reasons such as diseases, suffocation, hunger, cold and heat feeling …

Multifractal dynamic changes of spontaneous brain activity in psychiatric disorders: Adult attention deficit-hyperactivity disorder, bipolar disorder, and schizophrenia

S Guan, Z Zhang, C Meng, B Biswal - Journal of Affective Disorders, 2025 - Elsevier
It is one of the strategies to study the complexity of spontaneous fluctuation of brain neurons
based on resting-state functional magnetic resonance imaging (rs-fMRI), but the multifractal …

Comparative study of detection of ADHD using EEG signals

V Anchana, KS Biju - 2023 International Conference on Control …, 2023 - ieeexplore.ieee.org
Attention Deficit Hyperactivity Disorder (ADHD) is a neurodevelopmental irregularity which is
complex, universal and heterogeneous. Inattention, hyperactivity and impulsiveness are …

A comprehensive experimental framework based on analysis of the pilot's EEG and NASA-TLX questionnaire in a VR environment

L Ji, C Zhang, H Li, N Zhang, C Guo… - Proceedings of the …, 2023 - journals.sagepub.com
The relationship framework between electroencephalogram (EEG) signals and subjective
perception during pilots' missions was established to improve pilots' training efficiency and …

Prediction of salivary cortisol level by electroencephalography features

BA Savareh, A Bashiri, MM Hatef… - Biomedical Engineering …, 2021 - degruyter.com
Change in cortisol affects brain EEG signals. So, the identification of the significant EEG
features which are sensitized to cortisol concentration was the aim of the present study …