A study on EEG feature extraction and classification in autistic children based on singular spectrum analysis method

INTRODUCTION: The clinical diagnosis of Autism spectrum disorder (ASD) depends on rating scale evaluation, which introduces subjectivity. Thus, objective indicators of ASD are of great interest to clinicians. In this study, we sought biomarkers from resting‐state electroencephalography (EEG) data th...

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Detalles Bibliográficos
Autores principales: Zhao, Jie, Song, Jiajia, Li, Xiaoli, Kang, Jiannan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7749618/
https://www.ncbi.nlm.nih.gov/pubmed/33125837
http://dx.doi.org/10.1002/brb3.1721

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7749618/
https://www.ncbi.nlm.nih.gov/pubmed/33125837
http://dx.doi.org/10.1002/brb3.1721

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