AIMC Topic: Stroop Test

Clear Filters Showing 1 to 5 of 5 articles

Machine learning-enabled detection of attention-deficit/hyperactivity disorder with multimodal physiological data: a case-control study.

BMC psychiatry Aug 5, 2024
BACKGROUND: Attention-Deficit/Hyperactivity Disorder (ADHD) is a multifaceted neurodevelopmental psychiatric condition that typically emerges during childhood but often persists into adulthood, significantly impacting individuals' functioning, relati...
Case-Control Studies Wearable Electronic Devices Sensitivity and Specificity Male Attention Deficit Disorder with Hyperactivity Humans Galvanic Skin Response Machine Learning Stroop Test Support Vector Machine Young Adult Heart Rate Adult Female
View on PubMed DOI

Mild Dehydration Identification Using Machine Learning to Assess Autonomic Responses to Cognitive Stress.

Nutrients Dec 23, 2019
The feasibility of detecting mild dehydration by using autonomic responses to cognitive stress was studied. To induce cognitive stress, subjects ( = 17) performed the Stroop task, which comprised four minutes of rest and four minutes of test. Nine in...
Adult Sensitivity and Specificity Machine Learning Young Adult Cognition Support Vector Machine Heart Rate Male Stress, Psychological Humans Dehydration Galvanic Skin Response Stroop Test Autonomic Nervous System
View on PubMed DOI

Inter-subject transfer learning with an end-to-end deep convolutional neural network for EEG-based BCI.

Journal of neural engineering Nov 26, 2018
OBJECTIVE: Despite the effective application of deep learning (DL) in brain-computer interface (BCI) systems, the successful execution of this technique, especially for inter-subject classification, in cognitive BCI has not been accomplished yet. In ...
Brain-Computer Interfaces Color Perception Stroop Test Transfer, Psychology Electroencephalography Attention Algorithms Deep Learning Neural Networks, Computer Machine Learning Humans
View on PubMed DOI

Machine-based classification of ADHD and nonADHD participants using time/frequency features of event-related neuroelectric activity.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology Sep 30, 2017
OBJECTIVE: Attention-deficit/hyperactivity disorder (ADHD) is the most frequent diagnosis among children who are referred to psychiatry departments. Although ADHD was discovered at the beginning of the 20th century, its diagnosis is still confronted ...
Humans Algorithms Male Machine Learning Attention Deficit Disorder with Hyperactivity Stroop Test Electroencephalography Time Factors Evoked Potentials Child
View on PubMed DOI

Predicting Methylphenidate Response in ADHD Using Machine Learning Approaches.

The international journal of neuropsychopharmacology May 10, 2015
BACKGROUND: There are no objective, biological markers that can robustly predict methylphenidate response in attention deficit hyperactivity disorder. This study aimed to examine whether applying machine learning approaches to pretreatment demographi...
Lead Cotinine Stroop Test Age Factors Prognosis Polymorphism, Genetic Male Magnetic Resonance Imaging Treatment Outcome Female Child Central Nervous System Stimulants Support Vector Machine Norepinephrine Plasma Membrane Transport Proteins Attention Deficit Disorder with Hyperactivity Humans Receptors, Adrenergic, alpha-2 Body Weight Methylphenidate Brain Drug Therapy, Computer-Assisted Rest
View on PubMed DOI
Popular Topics
Recent Journals