Non-uniform multivariate embedding to assess the information transfer in cardiovascular and cardiorespiratory variability series

Luca Faes, Luca Faes, Giandomenico Nollo, Alberto Porta

Risultato della ricerca: Articlepeer review

54 Citazioni (Scopus)

Abstract

The complexity of the short-term cardiovascular control prompts for the introduction of multivariate (MV) nonlinear time series analysis methods to assess directional interactions reflecting the underlying regulatory mechanisms. This study introduces a new approach for the detection of nonlinear Granger causality in MV time series, based on embedding the series by a sequential, non-uniform procedure, and on estimating the information flow from one series to another by means of the corrected conditional entropy. The approach is validated on short realizations of linear stochastic and nonlinear deterministic processes, and then evaluated on heart period, systolic arterial pressure and respiration variability series measured from healthy humans in the resting supine position and in the upright position after head-up tilt. © 2011 Elsevier Ltd.
Lingua originaleEnglish
pagine (da-a)290-297
Numero di pagine8
RivistaComputers in Biology and Medicine
Volume42
Stato di pubblicazionePublished - 2012

All Science Journal Classification (ASJC) codes

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  • ???subjectarea.asjc.2700.2718???

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