Detection of Negative Stress through Spectral Features of Electroencephalographic Recordings and a Convolutional Neural Network

Detection of Negative Stress through Spectral Features of Electroencephalographic Recordings and a Convolutional Neural Network

In recent years, electroencephalographic (EEG) signals have been intensively used in the area of emotion recognition, partcularly in distress identification due to its negative impact on physical and mental health. Traditionally, brain activity has been studied from a frequency perspective by comput...

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Bibliographic Details
Main Authors: Arturo Martínez-Rodrigo, Beatriz García-Martínez, Álvaro Huerta, Raúl Alcaraz
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Sensors
Subjects:
convolutional neural networks
electroencephalography
power spectral density
negative stress
Online Access:https://www.mdpi.com/1424-8220/21/9/3050

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