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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Detalhes bibliográficos
Autores: Xia, Yirong, Yang, Licai, Zunino, Luciano José, Shi, Hongyu, Zhuang, Yuan, Liu, Chengyu
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2018
País:Argentina
Recursos:Consejo Nacional de Investigaciones Científicas y Técnicas
Repositorio:CONICET Digital (CONICET)
Idioma:inglés
OAI Identifier:oai:ri.conicet.gov.ar:11336/88476
Acesso em linha:http://hdl.handle.net/11336/88476
Access Level:acceso abierto
Palavra-chave:PERMUTATION ENTROPY
PERMUTATION MIN-ENTROPY
EMOTION RECOGNITION
HEART RATE VARIABILITY
ELECTROCARDIOGRAM (ECG)
https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
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network_acronym_str AR
network_name_str Argentina
repository_id_str
spelling Application of permutation entropy and permutation min-entropy in multiple emotional states analysis of RRI time seriesXia, YirongYang, LicaiZunino, Luciano JoséShi, HongyuZhuang, YuanLiu, ChengyuPERMUTATION ENTROPYPERMUTATION MIN-ENTROPYEMOTION RECOGNITIONHEART RATE VARIABILITYELECTROCARDIOGRAM (ECG)https://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1This 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.Fil: Xia, Yirong. Shandong University; ChinaFil: Yang, Licai. Shandong University; ChinaFil: Zunino, Luciano José. Universidad Nacional de La Plata. Facultad de Ingeniería. Departamento de Ciencias Básicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Investigaciones Ópticas. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Centro de Investigaciones Ópticas. Universidad Nacional de La Plata. Centro de Investigaciones Ópticas; ArgentinaFil: Shi, Hongyu. Shandong University; ChinaFil: Zhuang, Yuan. Shandong University; ChinaFil: Liu, Chengyu. Southeast University; ChinaMolecular Diversity Preservation International2018-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/88476Xia, Yirong; Yang, Licai; Zunino, Luciano José; Shi, Hongyu; Zhuang, Yuan; et al.; Application of permutation entropy and permutation min-entropy in multiple emotional states analysis of RRI time series; Molecular Diversity Preservation International; Entropy; 20; 3; 2-2018; 148-1481099-4300CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.mdpi.com/1099-4300/20/3/148info:eu-repo/semantics/altIdentifier/doi/10.3390/e20030148info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2024-05-08T14:07:32Zoai:ri.conicet.gov.ar:11336/88476instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982024-05-08 14:07:33.061CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Application of permutation entropy and permutation min-entropy in multiple emotional states analysis of RRI time series
title Application of permutation entropy and permutation min-entropy in multiple emotional states analysis of RRI time series
spellingShingle Application of permutation entropy and permutation min-entropy in multiple emotional states analysis of RRI time series
Xia, Yirong
PERMUTATION ENTROPY
PERMUTATION MIN-ENTROPY
EMOTION RECOGNITION
HEART RATE VARIABILITY
ELECTROCARDIOGRAM (ECG)
https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
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
dc.creator.none.fl_str_mv Xia, Yirong
Yang, Licai
Zunino, Luciano José
Shi, Hongyu
Zhuang, Yuan
Liu, Chengyu
author Xia, Yirong
author_facet Xia, Yirong
Yang, Licai
Zunino, Luciano José
Shi, Hongyu
Zhuang, Yuan
Liu, Chengyu
author_role author
author2 Yang, Licai
Zunino, Luciano José
Shi, Hongyu
Zhuang, Yuan
Liu, Chengyu
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv PERMUTATION ENTROPY
PERMUTATION MIN-ENTROPY
EMOTION RECOGNITION
HEART RATE VARIABILITY
ELECTROCARDIOGRAM (ECG)
https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
topic PERMUTATION ENTROPY
PERMUTATION MIN-ENTROPY
EMOTION RECOGNITION
HEART RATE VARIABILITY
ELECTROCARDIOGRAM (ECG)
https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
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.
publishDate 2018
dc.date.none.fl_str_mv 2018-02
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/88476
Xia, Yirong; Yang, Licai; Zunino, Luciano José; Shi, Hongyu; Zhuang, Yuan; et al.; Application of permutation entropy and permutation min-entropy in multiple emotional states analysis of RRI time series; Molecular Diversity Preservation International; Entropy; 20; 3; 2-2018; 148-148
1099-4300
CONICET Digital
CONICET
url http://hdl.handle.net/11336/88476
identifier_str_mv Xia, Yirong; Yang, Licai; Zunino, Luciano José; Shi, Hongyu; Zhuang, Yuan; et al.; Application of permutation entropy and permutation min-entropy in multiple emotional states analysis of RRI time series; Molecular Diversity Preservation International; Entropy; 20; 3; 2-2018; 148-148
1099-4300
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.mdpi.com/1099-4300/20/3/148
info:eu-repo/semantics/altIdentifier/doi/10.3390/e20030148
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Molecular Diversity Preservation International
publisher.none.fl_str_mv Molecular Diversity Preservation International
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1799195896906252288
score 15.812429

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