Brasil | Article
dc.creatorDantas, Eduardo Miranda
dc.creatorSant’Anna, MarcelaLima
dc.creatorAndreão, Rodrigo Varejão
dc.creatorGonçalves, Christine Pereira
dc.creatorMorra, Elis Aguiar
dc.creatorBaldo, Marcelo Perim
dc.creatorRodrigues, Sérgio Lamêgo
dc.creatorMill, José Geraldo
dc.date2014-11-28T12:38:01Z
dc.date2014-11-28T12:38:01Z
dc.date2012
dc.date.accessioned2023-09-27T00:10:59Z
dc.date.available2023-09-27T00:10:59Z
dc.identifierDANTAS, Eduardo Miranda. et al. Spectral analysis of heart rate variability with the autoregressive method: What model order to choose?. Comput. biol. med., Elmsford, v. 42, p. 164–170, 2012.
dc.identifierhttps://www.arca.fiocruz.br/handle/icict/8995
dc.identifier10.1016/j.compbiomed.2011.11.004
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8898271
dc.descriptionThis work assessed the influence of the autoregressive model order(ARMO)on the spectral analysis of the heart rate variability(HRV).A sample of 68 R–R series obtained from digital ECG records of young healthy adults in the supine position was used. Normalized spectral indexes for each ARMO were compared by Friedman test followed by the Dunn's procedure and statistical sginificance at P <0.05. The result showed that the AR method using orders from 9 to 25 produces normalized spectral parametrers statistically similar and, hence, the algorith commonly employed to estimate optimum order are not mandatory in this case.
dc.formatapplication/pdf
dc.languageeng
dc.publisherPergamon Press
dc.rightsrestricted access
dc.subjectHeart Rate Variability
dc.subjectAutoregressive Model Order
dc.subjectPower Spectral Analysis
dc.subjectAutoregressive Model Settings
dc.subjectAutonomous Nervous System
dc.subjectFrequência Cardíaca
dc.subjectAnálise Espectral
dc.subjectSistema Nervoso Autônomo
dc.titleSpectral analysis of heart rate variability with the autoregressive method: What model order to choose?
dc.typeArticle


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