NDLI: Instantaneous transfer entropy for the study of cardio-respiratory dynamics

Content Provider	IEEE Xplore Digital Library
Author	Valenza, G. Faes, L. Citi, L. Orini, M. Barbieri, R.
Copyright Year	2015
Description	Author affiliation: Dept. of Ind. Eng., Univ. of Trento, Trento, Italy (Faes, L.) \|\| Inst. of Cardiovascular Sci., Univ. Coll. London, London, UK (Orini, M.) \|\| Sch. of Comput. Sci. & Electron. Eng., Univ. of Essex, Colchester, UK (Citi, L.) \|\| Neurosci. Stat. Res. Lab., Massachusetts Gen. Hosp., Boston, MA, USA (Valenza, G.; Barbieri, R.)
Abstract	Measures of transfer entropy have been proposed to quantify the directional coupling and strength between two complex physiological variables. Particular attention has been given to nonlinear interactions within cardiovascular and respiratory dynamics as influenced by the autonomic nervous system. However, standard transfer entropy estimates have shown major limitations in dealing with issues concerning stochastic system modeling, limited observations in time, and the assumption of stationarity of the considered physiological variables. Moreover, standard estimates are unable to track time-varying changes in nonlinear coupling with high resolution in time. Here, we propose a novel definition of transfer entropy linked to inhomogeneous point-process theory. Heartbeat and respiratory dynamics are characterized through discrete time series, and modeled through probability density functions (PDFs) which characterize and predict the time until the occurrence of the next physiological event as a function of the past history. As the derived measures of entropy are instantaneously defined through continuos PDFs, a novel index (the Instantaneous point-process Transfer Entropy, ipT ransfEn) is able to provide instantaneous tracking of the information transfer. The new measure is tested on experimental data gathered from 16 healthy subjects undergoing postural changes, showing fast tracking of the tilting events and low variability during the standing phase.
Starting Page	7885
Ending Page	7888
File Size	764408
Page Count	4
File Format	PDF
ISSN	1557170X
e-ISBN	9781424492718
DOI	10.1109/EMBC.2015.7320220
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-25
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Entropy Heart rate variability Physiology Estimation Complexity theory Standards Time series analysis
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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