Application of Supervised Machine Learning for Behavioral Biomarkers of Autism Spectrum Disorder Based on Electrodermal Activity and Virtual Reality

Application of Supervised Machine Learning for Behavioral Biomarkers of Autism Spectrum Disorder Based on Electrodermal Activity and Virtual Reality

ObjectiveSensory processing is the ability to capture, elaborate, and integrate information through the five senses and is impaired in over 90% of children with autism spectrum disorder (ASD). The ASD population shows hyper–hypo sensitiveness to sensory stimuli that can generate alteration in inform...

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Bibliographic Details
Main Authors: Mariano Alcañiz Raya, Irene Alice Chicchi Giglioli, Javier Marín-Morales, Juan L. Higuera-Trujillo, Elena Olmos, Maria E. Minissi, Gonzalo Teruel Garcia, Marian Sirera, Luis Abad
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-04-01
Series:Frontiers in Human Neuroscience
Subjects:
autism spectrum disorder
sensory dysfunction
virtual reality
electrodermal activity
assessment
Online Access:https://www.frontiersin.org/article/10.3389/fnhum.2020.00090/full

Internet

https://www.frontiersin.org/article/10.3389/fnhum.2020.00090/full

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