A comparison between classical and new proposed feature selection methods for attention level recognition in disordered children

A comparison between classical and new proposed feature selection methods for attention level recognition in disordered children

Lack of attention is a chronic behavior in ADHD (Attention Deficit Hyperactivity Disorder) and ASD (Autism Spectrum Disorder). Our goal is to develop a reliable method for the detection of inattention with high accuracy and low time consumption to be used in real time neurofeedback. The new applied...

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Bibliographic Details
Main Authors: Radwa Magdy Rady, Nancy Diaa Moussa, Doaa Hanafy El Salmawy, M R M Rizk, Onsy Abdel Alim
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:Alexandria Engineering Journal
Subjects:
Quantitative Electroencephalogram
Fractal Dimension
Empirical Mode Decomposition
Multi Resolution Analysis
Neurofeedback
Attention level recognition
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016822004446

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http://www.sciencedirect.com/science/article/pii/S1110016822004446

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