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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Detalles Bibliográficos
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
Descripción
Sumario: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.