Estimation of the uncertainty in time domain indices of RR time series

A method for estimating the uncertainty in time-domain indices of RR time series is described. The method relies on the central limit theorem that states that the distribution of a sample average of independent samples has an uncertainty that asymptotically approaches to the sample standard deviatio...

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Autores: García González, Miguel Ángel|||0000-0002-8043-4794, Fernández Chimeno, Mireya|||0000-0001-8384-1320, Ramos Castro, Juan José|||0000-0001-9413-2001
Tipo de recurso: artículo
Fecha de publicación:2007
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/1344
Acceso en línea:https://hdl.handle.net/2117/1344
Access Level:acceso abierto
Palabra clave:Electrocardiography
Time-series analysis
Statistical analysis
Time series
Uncertainty estimation
Time domain indices
RR time series
Central limit theorem
Independent partial indices
Electrocardiografia -- Processament de dades
Sèries temporals -- Anàlisi
Àrees temàtiques de la UPC::Enginyeria biomèdica::Electrònica biomèdica
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spelling Estimation of the uncertainty in time domain indices of RR time seriesGarcía González, Miguel Ángel|||0000-0002-8043-4794Fernández Chimeno, Mireya|||0000-0001-8384-1320Ramos Castro, Juan José|||0000-0001-9413-2001ElectrocardiographyTime-series analysisElectrocardiographyStatistical analysisTime seriesUncertainty estimationTime domain indicesRR time seriesCentral limit theoremIndependent partial indicesElectrocardiografia -- Processament de dadesSèries temporals -- AnàlisiÀrees temàtiques de la UPC::Enginyeria biomèdica::Electrònica biomèdicaA method for estimating the uncertainty in time-domain indices of RR time series is described. The method relies on the central limit theorem that states that the distribution of a sample average of independent samples has an uncertainty that asymptotically approaches to the sample standard deviation divided by the square root of the number of samples. Because RR time series cannot be characterized by a set of independent samples, we propose to estimate the uncertainty of indices by computing them in blocks that satisfy that the obtained partial indices are independent. We propose a methodology to search sets of independent partial indices and apply this methodology to the estimation of the uncertainty in the mean RR, SDRR, and r-msDD indices. The results show that the uncertainty can be higher than the 10% of the index for the SDRR and even higher for the r-msDD. Moreover, a statistical test for the difference of two indices is proposed.Peer ReviewedIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC20072007-03-3120072007-11-20journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/1344reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/13442026-05-27T15:37:01Z
dc.title.none.fl_str_mv Estimation of the uncertainty in time domain indices of RR time series
title Estimation of the uncertainty in time domain indices of RR time series
spellingShingle Estimation of the uncertainty in time domain indices of RR time series
García González, Miguel Ángel|||0000-0002-8043-4794
Electrocardiography
Time-series analysis
Electrocardiography
Statistical analysis
Time series
Uncertainty estimation
Time domain indices
RR time series
Central limit theorem
Independent partial indices
Electrocardiografia -- Processament de dades
Sèries temporals -- Anàlisi
Àrees temàtiques de la UPC::Enginyeria biomèdica::Electrònica biomèdica
title_short Estimation of the uncertainty in time domain indices of RR time series
title_full Estimation of the uncertainty in time domain indices of RR time series
title_fullStr Estimation of the uncertainty in time domain indices of RR time series
title_full_unstemmed Estimation of the uncertainty in time domain indices of RR time series
title_sort Estimation of the uncertainty in time domain indices of RR time series
dc.creator.none.fl_str_mv García González, Miguel Ángel|||0000-0002-8043-4794
Fernández Chimeno, Mireya|||0000-0001-8384-1320
Ramos Castro, Juan José|||0000-0001-9413-2001
author García González, Miguel Ángel|||0000-0002-8043-4794
author_facet García González, Miguel Ángel|||0000-0002-8043-4794
Fernández Chimeno, Mireya|||0000-0001-8384-1320
Ramos Castro, Juan José|||0000-0001-9413-2001
author_role author
author2 Fernández Chimeno, Mireya|||0000-0001-8384-1320
Ramos Castro, Juan José|||0000-0001-9413-2001
author2_role author
author
dc.subject.none.fl_str_mv Electrocardiography
Time-series analysis
Electrocardiography
Statistical analysis
Time series
Uncertainty estimation
Time domain indices
RR time series
Central limit theorem
Independent partial indices
Electrocardiografia -- Processament de dades
Sèries temporals -- Anàlisi
Àrees temàtiques de la UPC::Enginyeria biomèdica::Electrònica biomèdica
topic Electrocardiography
Time-series analysis
Electrocardiography
Statistical analysis
Time series
Uncertainty estimation
Time domain indices
RR time series
Central limit theorem
Independent partial indices
Electrocardiografia -- Processament de dades
Sèries temporals -- Anàlisi
Àrees temàtiques de la UPC::Enginyeria biomèdica::Electrònica biomèdica
description A method for estimating the uncertainty in time-domain indices of RR time series is described. The method relies on the central limit theorem that states that the distribution of a sample average of independent samples has an uncertainty that asymptotically approaches to the sample standard deviation divided by the square root of the number of samples. Because RR time series cannot be characterized by a set of independent samples, we propose to estimate the uncertainty of indices by computing them in blocks that satisfy that the obtained partial indices are independent. We propose a methodology to search sets of independent partial indices and apply this methodology to the estimation of the uncertainty in the mean RR, SDRR, and r-msDD indices. The results show that the uncertainty can be higher than the 10% of the index for the SDRR and even higher for the r-msDD. Moreover, a statistical test for the difference of two indices is proposed.
publishDate 2007
dc.date.none.fl_str_mv 2007
2007-03-31
2007
2007-11-20
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/1344
url https://hdl.handle.net/2117/1344
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
publisher.none.fl_str_mv IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.301629

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