Multiscale analysis of heart rate, blood pressure and respiration time series

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dc.creatorAngelini, L.
dc.creatorMaestri, R.
dc.creatorMarinazzo, D.
dc.creatorNitti, L.
dc.creatorPellicoro, M.
dc.creatorPinna, G. D.
dc.creatorStramaglia, S.
dc.creatorTupputi, S. A.
dc.date2005-10-28
dc.date.accessioned2026-07-07T06:48:35Z
dc.date.available2026-07-07T06:48:35Z
dc.descriptionWe present the multiscale entropy analysis of short term physiological time series of simultaneously acquired samples of heart rate, blood pressure and lung volume, from healthy subjects and from subjects with Chronic Heart Failure. Evaluating the complexity of signals at the multiple time scales inherent in physiologic dynamics, we find that healthy subjects show more complex time series at large time scales; on the other hand, at fast time scales, which are more influenced by respiration, the pathologic dynamics of blood pressure is the most random. These results robustly separate healthy and pathologic groups. We also propose a multiscale approach to evaluate interactions between time series, by performing a multivariate autoregressive modelling of the coarse grained time series: this analysis provides several new quantitative indicators which are statistically correlated with the pathology.
dc.description9 pages 10 figures
dc.identifierhttps://arxiv.org/abs/physics/0510259
dc.identifierhttp://arxiv.org/abs/physics/0510259
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/104057
dc.subjectMedical Physics
dc.subjectDisordered Systems and Neural Networks
dc.subjectData Analysis, Statistics and Probability
dc.subjectQuantitative Methods
dc.titleMultiscale analysis of heart rate, blood pressure and respiration time series
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