Application of Permutation Entropy and Permutation Min-Entropy in Multiple Emotional States Analysis of RRI Time Series

This study’s aim was to apply permutation entropy (PE) and permutation min-entropy (PME) over an RR interval time series to quantify the changes in cardiac activity among multiple emotional states. Electrocardiogram (ECG) signals were recorded under six emotional states (neutral, happiness, sadness,...

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Detalles Bibliográficos
Autores principales: Xia, Yirong, Yang, Licai, Zunino, Luciano José, Shi, Hongyu, Zhuang, Yuan, Liu, Chengyu
Formato: Articulo
Lenguaje:Inglés
Publicado: 2018
Materias:
Ingeniería
permutation entropy; permutation min-entropy; emotion recognition; heart rate variability; electrocardiogram (ECG)
Patrón de Electrocardiograma
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/67692
http://www.mdpi.com/1099-4300/20/3/148/htm
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-67692
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ingeniería
permutation entropy; permutation min-entropy; emotion recognition; heart rate variability; electrocardiogram (ECG)
Patrón de Electrocardiograma
spellingShingle Ingeniería
permutation entropy; permutation min-entropy; emotion recognition; heart rate variability; electrocardiogram (ECG)
Patrón de Electrocardiograma
Xia, Yirong
Yang, Licai
Zunino, Luciano José
Shi, Hongyu
Zhuang, Yuan
Liu, Chengyu
Application of Permutation Entropy and Permutation Min-Entropy in Multiple Emotional States Analysis of RRI Time Series
topic_facet Ingeniería
permutation entropy; permutation min-entropy; emotion recognition; heart rate variability; electrocardiogram (ECG)
Patrón de Electrocardiograma
description This study’s aim was to apply permutation entropy (PE) and permutation min-entropy (PME) over an RR interval time series to quantify the changes in cardiac activity among multiple emotional states. Electrocardiogram (ECG) signals were recorded under six emotional states (neutral, happiness, sadness, anger, fear, and disgust) in 60 healthy subjects at a rate of 1000 Hz. For each emotional state, ECGs were recorded for 5 min and the RR interval time series was extracted from these ECGs. The obtained results confirm that PE and PME increase significantly during the emotional states of happiness, sadness, anger, and disgust. Both symbolic quantifiers also increase but not in a significant way for the emotional state of fear. Moreover, it is found that PME is more sensitive than PE for discriminating non-neutral from neutral emotional states.
format Articulo
Articulo
author Xia, Yirong
Yang, Licai
Zunino, Luciano José
Shi, Hongyu
Zhuang, Yuan
Liu, Chengyu
author_facet Xia, Yirong
Yang, Licai
Zunino, Luciano José
Shi, Hongyu
Zhuang, Yuan
Liu, Chengyu
author_sort Xia, Yirong
title Application of Permutation Entropy and Permutation Min-Entropy in Multiple Emotional States Analysis of RRI Time Series
title_short Application of Permutation Entropy and Permutation Min-Entropy in Multiple Emotional States Analysis of RRI Time Series
title_full Application of Permutation Entropy and Permutation Min-Entropy in Multiple Emotional States Analysis of RRI Time Series
title_fullStr Application of Permutation Entropy and Permutation Min-Entropy in Multiple Emotional States Analysis of RRI Time Series
title_full_unstemmed Application of Permutation Entropy and Permutation Min-Entropy in Multiple Emotional States Analysis of RRI Time Series
title_sort application of permutation entropy and permutation min-entropy in multiple emotional states analysis of rri time series
publishDate 2018
url http://sedici.unlp.edu.ar/handle/10915/67692
http://www.mdpi.com/1099-4300/20/3/148/htm
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