Diagnosis and Intervention for Children With Autism Spectrum Disorder: A Survey

被引:4
作者
Wang, Zhiyong [1 ,2 ]
Liu, Jingjing [1 ,2 ]
Zhang, Wanqi [1 ,2 ]
Nie, Wei [2 ]
Liu, Honghai [2 ]
机构
[1] Shanghai Jiao Tong Univ, State Key Lab Mech Syst & Vibrat, Shanghai 200240, Peoples R China
[2] Harbin Inst Technol Shenzhen, State Key Lab Robot & Syst, Shenzhen 518055, Peoples R China
基金
中国国家自然科学基金;
关键词
Autism; Electroencephalography; Pediatrics; Diseases; Feature extraction; Standards; Magnetic resonance imaging; Autism spectrum disorder (ASD); diagnosis and intervention; engineering technologies; MEDIATED JOINT ATTENTION; HUMANOID ROBOT KASPAR; YOUNG-CHILDREN; COLLABORATIVE PLAY; EEG SIGNALS; SYSTEM; CLASSIFICATION; STIMULATION; TODDLERS; ADOLESCENTS;
D O I
10.1109/TCDS.2021.3093040
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In recent years, the prevalence of autism spectrum disorder (ASD) has been proliferating rapidly around the world. This article aims to provide a comprehensive survey of the diagnosis and intervention for autistic children. Two assessment frameworks are introduced first to provide theoretical support for autistic engineering technologies: 1) international classification of diagnosis (ICD) and 2) international classification of functionalities (ICF). Then, autistic diagnosis and intervention techniques are presented respectively with different modalities. Multimodal sensing strategies for autism assessment are summarized subsequently. Finally, this article is concluded with future directions and challenges. This article overviews state-of-the-art research in the field of autistic diagnosis and intervention theory and applications giving priority to ICF-based solutions.
引用
收藏
页码:819 / 832
页数:14
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