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.

Faes, L., Nollo, G., Porta, A. (2012). Non-uniform multivariate embedding to assess the information transfer in cardiovascular and cardiorespiratory variability series. COMPUTERS IN BIOLOGY AND MEDICINE, 42(3), 290-297 [10.1016/j.compbiomed.2011.02.007].

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

Faes, Luca;
2012-01-01

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.
2012
Settore ING-INF/06 - Bioingegneria Elettronica E Informatica
Faes, L., Nollo, G., Porta, A. (2012). Non-uniform multivariate embedding to assess the information transfer in cardiovascular and cardiorespiratory variability series. COMPUTERS IN BIOLOGY AND MEDICINE, 42(3), 290-297 [10.1016/j.compbiomed.2011.02.007].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/276732
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