Evaluating deep learning EEG-based mental stress classification in adolescents with autism for breathing entrainment BCI

Evaluating deep learning EEG-based mental stress classification in adolescents with autism for breathing entrainment BCI

Abstract Mental stress is a major individual and societal burden and one of the main contributing factors that lead to pathologies such as depression, anxiety disorders, heart attacks, and strokes. Given that anxiety disorders are one of the most common comorbidities in youth with autism spectrum di...

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Bibliographic Details
Main Authors: Avirath Sundaresan, Brian Penchina, Sean Cheong, Victoria Grace, Antoni Valero-Cabré, Adrien Martel
Format: Article
Language:English
Published: SpringerOpen 2021-07-01
Series:Brain Informatics
Subjects:
Mental stress
Autism
EEG
Deep learning
Breathing entrainment
Online Access:https://doi.org/10.1186/s40708-021-00133-5

Internet

https://doi.org/10.1186/s40708-021-00133-5

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