Multi-Lag Analysis of Symbolic Entropies on EEG Recordings for Distress Recognition

Distress is a critical problem in developed societies given its long-term negative effects on physical and mental health. The interest in studying this emotion has notably increased during last years, being electroencephalography (EEG) signals preferred over other physiological variables in this res...

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Autores principales:	Martínez Rodrigo, Arturo, García Martínez, Beatriz, Zunino, Luciano José, Alcaraz, Raúl, Fernández Caballero, Antonio
Formato:	Articulo
Lenguaje:	Inglés
Publicado:	2019
Materias:	Física electroencephalography distress non-linear metrics delayed permutation entropy permutation min-entropy
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/108120 http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC6558149&blobtype=pdf
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-108120
record_format	dspace
institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Física electroencephalography distress non-linear metrics delayed permutation entropy permutation min-entropy
spellingShingle	Física electroencephalography distress non-linear metrics delayed permutation entropy permutation min-entropy Martínez Rodrigo, Arturo García Martínez, Beatriz Zunino, Luciano José Alcaraz, Raúl Fernández Caballero, Antonio Multi-Lag Analysis of Symbolic Entropies on EEG Recordings for Distress Recognition
topic_facet	Física electroencephalography distress non-linear metrics delayed permutation entropy permutation min-entropy
description	Distress is a critical problem in developed societies given its long-term negative effects on physical and mental health. The interest in studying this emotion has notably increased during last years, being electroencephalography (EEG) signals preferred over other physiological variables in this research field. In addition, the non-stationary nature of brain dynamics has impulsed the use of non-linear metrics, such as symbolic entropies in brain signal analysis. Thus, the influence of time-lag on brain patterns assessment has not been tested. Hence, in the present study two permutation entropies denominated Delayed Permutation Entropy and Permutation Min-Entropy have been computed for the first time at different time-lags to discern between emotional states of calmness and distress from EEG signals. Moreover, a number of curve-related features were also calculated to assess brain dynamics across different temporal intervals. Complementary information among these variables was studied through sequential forward selection and 10-fold cross-validation approaches. According to the results obtained, the multi-lag entropy analysis has been able to reveal new significant insights so far undiscovered, thus notably improving the process of distress recognition from EEG recordings.
format	Articulo Articulo
author	Martínez Rodrigo, Arturo García Martínez, Beatriz Zunino, Luciano José Alcaraz, Raúl Fernández Caballero, Antonio
author_facet	Martínez Rodrigo, Arturo García Martínez, Beatriz Zunino, Luciano José Alcaraz, Raúl Fernández Caballero, Antonio
author_sort	Martínez Rodrigo, Arturo
title	Multi-Lag Analysis of Symbolic Entropies on EEG Recordings for Distress Recognition
title_short	Multi-Lag Analysis of Symbolic Entropies on EEG Recordings for Distress Recognition
title_full	Multi-Lag Analysis of Symbolic Entropies on EEG Recordings for Distress Recognition
title_fullStr	Multi-Lag Analysis of Symbolic Entropies on EEG Recordings for Distress Recognition
title_full_unstemmed	Multi-Lag Analysis of Symbolic Entropies on EEG Recordings for Distress Recognition
title_sort	multi-lag analysis of symbolic entropies on eeg recordings for distress recognition
publishDate	2019
url	http://sedici.unlp.edu.ar/handle/10915/108120 http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC6558149&blobtype=pdf
work_keys_str_mv	AT martinezrodrigoarturo multilaganalysisofsymbolicentropiesoneegrecordingsfordistressrecognition AT garciamartinezbeatriz multilaganalysisofsymbolicentropiesoneegrecordingsfordistressrecognition AT zuninolucianojose multilaganalysisofsymbolicentropiesoneegrecordingsfordistressrecognition AT alcarazraul multilaganalysisofsymbolicentropiesoneegrecordingsfordistressrecognition AT fernandezcaballeroantonio multilaganalysisofsymbolicentropiesoneegrecordingsfordistressrecognition
bdutipo_str	Repositorios
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Multi-Lag Analysis of Symbolic Entropies on EEG Recordings for Distress Recognition

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