Quantitative Assessment of Stress Through EEG During a Virtual Reality Stress-Relax Session

Recent studies have addressed stress level classification via electroencephalography (EEG) and machine learning. These works typically use EEG-based features, like power spectral density (PSD), to develop stress classifiers. Nonetheless, these classifiers are usually limited to the discrimination of...

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Bibliographic Details
Main Authors: Eduardo Perez-Valero, Miguel A. Vaquero-Blasco, Miguel A. Lopez-Gordo, Christian Morillas
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-07-01
Series:Frontiers in Computational Neuroscience
Subjects:
EEG
Online Access:https://www.frontiersin.org/articles/10.3389/fncom.2021.684423/full