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Regional-Asymmetric Adaptive Graph Convolutional Neural Network for Diagnosis of Autism in Children With Resting-State EEG

Currently, resting-state electroencephalography (rs-EEG) has become an effective and low-cost evaluation way to identify autism spectrum disorders (ASD) in children. However, it is of great challenge to extract useful features from raw rs-EEG data to improve diagnosis performance. Traditional method...

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Bibliographic Details
Main Authors:	Wanyu Hu (Author), Guoqian Jiang (Author), Junxia Han (Author), Xiaoli Li (Author), Ping Xie (Author)
Format:	Book
Published:	IEEE, 2024-01-01T00:00:00Z.
Subjects:	article
Online Access:	Connect to this object online.
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