Children ASD Evaluation Through Joint Analysis of EEG and Eye-Tracking Recordings With Graph Convolution Network

Recent advances in neuroscience indicate that analysis of bio-signals such as rest state electroencephalogram (EEG) and eye-tracking data can provide more reliable evaluation of children autism spectrum disorder (ASD) than traditional methods of behavior measurement relying on scales do. However, th...

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Detalles Bibliográficos
Autores principales: Zhang, Shasha, Chen, Dan, Tang, Yunbo, Zhang, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Human Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8185139/
https://www.ncbi.nlm.nih.gov/pubmed/34113244
http://dx.doi.org/10.3389/fnhum.2021.651349

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8185139/
https://www.ncbi.nlm.nih.gov/pubmed/34113244
http://dx.doi.org/10.3389/fnhum.2021.651349

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