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1. Identity statement
Reference TypeBook Section
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W/3HG7RLS
Repositorysid.inpe.br/plutao/2014/12.01.14.46   (restricted access)
Last Update2015:02.19.11.49.33 (UTC) simone
Metadata Repositorysid.inpe.br/plutao/2014/12.01.14.46.06
Metadata Last Update2024:01.09.17.02.05 (UTC) simone
DOI10.1007/978-3-319-09531-8_8
ISBN9783319095301
Labellattes: 5240243263075069 2 SantosBarGodMacFre:2014:HeRaVa
Citation KeySantosBarGodMacFre:2014:HeRaVa
TitleRecurrence Quantification Analysis as a Tool for Discrimination Among Different Dynamics Classes: The Heart Rate Variability Associated to Different Age Groups
Year2014
Access Date2024, May 19
Secondary TypePRE LI
Number of Files1
Size939 KiB
2. Context
Author1 Santos, Laurita dos
2 Barroso, Joaquim José
3 Godoy, Moacir F. de
4 Macau, Elbert Einstein Nehrer
5 Freitas, Ubiratan S.
Resume Identifier1
2
3
4 8JMKD3MGP5W/3C9JGUT
Group1
2 LAP-CTE-INPE-MCTI-GOV-BR
3
4 LAC-CTE-INPE-MCTI-GOV-BR
Affiliation1 Universidade do Vale do Paraíba (UNIVAP)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Faculdade de Medicina de São José do Rio Preto (FAMERP)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Université de Rouen
Author e-Mail Address1 lauritas9@gmail.com
2 barroso@plasma.inpe.br
3
4 elbert.macau@inpe.br
EditorSarkar, S.
Basu, U.
De, S.
e-Mail Addressmarcelo.pazos@inpe.br
Book TitleProceedings in Mathematics & Statistics
PublisherSpringer International Publishing
Volume103
Pages125-136
History (UTC)2014-12-01 14:46:06 :: lattes -> administrator ::
2014-12-02 10:37:09 :: administrator -> lattes :: 2014
2014-12-09 12:55:22 :: lattes -> administrator :: 2014
2015-01-06 15:53:22 :: administrator -> marcelo.pazos@sid.inpe.br :: 2014
2015-02-19 11:49:33 :: marcelo.pazos@sid.inpe.br -> administrator :: 2014
2024-01-09 17:00:57 :: administrator -> simone :: 2014
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
Keywordsrecurrence quantification analysis
heart rate variability
AbstractWe propose a classification method based on recurrence quantification analysis (RQA) combined with support vector machines (SVM). This method combines in an effective way various quantitative descriptors to allow a refined discrimination among dynamical non linear systems that presents dynamics which are very similar to each other. To show how effective this methodology is, firstly, based on synthetic data, it is applied on time series generated from the logistic map with nearby parameter values and in the chaotic regime. Next, it is applied to human biosignals, namely, heart rate variability (HRV) time series obtained from four groups of individuals (premature newborns, full-term newborns, healthy young adults, and adults with severe coronary disease). Roughly the proposed methodology works as follows: The signals are transformed into recurrence plots (RP) and a set of RQA statistical features (recurrence rate, determinism, averaged and maximal diagonal line lengths, entropy, laminarity, trapping time, and length of longest vertical line) are extracted to form the input vector for a SVM classifier. Results show that the method discriminates groups of different ages with classification accuracy better than . Given that heart rate continuously fluctuates over time and reflects different mechanisms to maintain cardiovascular homeostasis of an individual, the results obtained may allow to draw important information on the autonomic control of circulation in normal and diseased conditions.
AreaFISPLASMA
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > LABAC > Recurrence Quantification Analysis...
Arrangement 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > LABAP > Recurrence Quantification Analysis...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
Languageen
Target Filesantos_recurrence.pdf
User Grouplattes
marcelo.pazos@inpe.br
Reader Groupadministrator
simone
Visibilityshown
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
LinkingTrabalho não Vinculado à Tese/Dissertação
Mirror Repositoryiconet.com.br/banon/2006/11.26.21.31
Next Higher Units8JMKD3MGPCW/3ESGTTP
8JMKD3MGPCW/3ET2RFS
Citing Item Listsid.inpe.br/bibdigital/2013/09.22.23.14 3
sid.inpe.br/bibdigital/2013/09.25.21.49 1
sid.inpe.br/mtc-m21/2012/07.13.14.45.07 1
URL (untrusted data)http://link.springer.com/10.1007/978-3-319-09531-8_8
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
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7. Description control
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