Fusion of Multi-Task Neurophysiological Data to Enhance the Detection of Attention- Deficit/Hyperactivity Disorder

Fusion of Multi-Task Neurophysiological Data to Enhance the Detection of Attention- Deficit/Hyperactivity Disorder

Objective: Attention-deficit/hyperactivity disorder (ADHD) is a childhood-onset neurodevelopmental disorder with a prevalence ranging from 6.1 to 9.4%. The main symptoms of ADHD are inattention, hyperactivity, impulsivity, and even destructive behaviors that may have a long-term negative influence o...

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Bibliographic Details
Main Authors: Kai-Feng Zhang, Shih-Ching Yeh, Eric Hsiao-Kuang Wu, Xiu Xu, Ho-Jung Tsai, Chun-Chuan Chen
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Translational Engineering in Health and Medicine
Subjects:
Attention-deficit/hyperactivity disorder
assessment
deep learning
multi-model fusion
virtual reality
Online Access:https://ieeexplore.ieee.org/document/10614196/
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