Recognition of Emotional States from EEG Signals with Nonlinear Regularity- and Predictability-Based Entropy Metrics

Recently, the recognition of emotions with electroencephalographic (EEG) signals has received increasing attention. Furthermore, the nonstationarity of brain has intensified the application of nonlinear methods. Nonetheless, metrics like quadratic sample entropy (QSE), amplitude-aware permutation en...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: García-Martínez, Beatriz, Fernández-Caballero, Antonio, Zunino, Luciano José, Martínez-Rodrigo, Arturo
Formato: Articulo
Lenguaje:Inglés
Publicado: 2021
Materias:
Ingeniería
Informática
Emotions
Electroencephalography
Entropy metrics
Nonlinear analysis
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/131625
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata

Ejemplares similares

Ejemplares similares