In the framework of information dynamics, new tools are emerging which allow one to quantify how the information provided by two source processes about a target process results from the contribution of each source and from the interaction between the sources. We present the first implementation of these tools in the assessment of short-term cardiovascular and cardiorespiratory variability, by introducing two strategies for the decomposition of the information transferred to heart period (HP) variability from systolic arterial pressure (SAP) and respiration flow (RF) variability. Several measures based on the notion of transfer entropy (TE) are defined to quantify joint, individual and redundant/synergistic information transfer, and are then estimated from the series of HP, SAP and RF obtained from healthy subjects during head-up tilt and paced breathing protocols. Our results show that the proposed information decomposition methods provide an enhanced view on cardiovascular and cardiorespiratory regulation.
Redundant and synergistic information transfer in cardiovascular and cardiorespiratory variability / L. Faes, A. Porta, G. Nollo (PROCEEDINGS OF THE ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY). - In: Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE[s.l] : IEEE Press, 2015. - ISBN 9781424492718. - pp. 4033-4036 (( Intervento presentato al 37. convegno EMBS tenutosi a Milano nel 2015 [10.1109/EMBC.2015.7319279].
Redundant and synergistic information transfer in cardiovascular and cardiorespiratory variability
A. PortaSecondo
;
2015
Abstract
In the framework of information dynamics, new tools are emerging which allow one to quantify how the information provided by two source processes about a target process results from the contribution of each source and from the interaction between the sources. We present the first implementation of these tools in the assessment of short-term cardiovascular and cardiorespiratory variability, by introducing two strategies for the decomposition of the information transferred to heart period (HP) variability from systolic arterial pressure (SAP) and respiration flow (RF) variability. Several measures based on the notion of transfer entropy (TE) are defined to quantify joint, individual and redundant/synergistic information transfer, and are then estimated from the series of HP, SAP and RF obtained from healthy subjects during head-up tilt and paced breathing protocols. Our results show that the proposed information decomposition methods provide an enhanced view on cardiovascular and cardiorespiratory regulation.File | Dimensione | Formato | |
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