Effect of variations of the complexity of the target variable on the assessment of Wiener-Granger causality in cardiovascular control studies

Physiological Measurement
Alberto PortaFerdinando Raimondi

Abstract

We hypothesized that Wiener-Granger causality (WGC) indexes might have different abilities in coping with modifications of the complexity of the target variable in the context of the assessment of the cardiovascular control from spontaneous fluctuations of heart period (HP), systolic arterial pressure (SAP) and respiratory activity (R). After having defined the universe of knowledge as the set Ω = {HP, SAP, R} and the unpredictability decrement (UPD) as the difference between the prediction error variances of the target signal computed in Ω after excluding the presumed cause (i.e. the restricted Ω) and in Ω, we computed the following frequently utilized WGC indexes: (i) the plain UPD; (ii) the fractional UPD (FUPD) by dividing UPD by the prediction error variance in the restricted Ω; (iii) the normalized UPD (NUPD) by dividing UPD by the prediction error variance in Ω; (iv) the log-unpredictability decrement (LUPD) by applying the logarithm transformation to the prediction error variances before computing the UPD. The hypothesis was tested over two experimental protocols known to produce modifications of the complexity of HP variability: graded head-up tilt (HUT) inducing a gradual decrease of the HP complexity with tilt table ...Continue Reading

References

Mar 1, 1994·Medical & Biological Engineering & Computing·G BaselliA Malliani
Nov 14, 1997·IEEE Transactions on Bio-medical Engineering·G BaselliS Cerutti
May 20, 1999·The Journal of Physiology·W H CookeD L Eckberg
Sep 16, 2000·Physical Review Letters·T Schreiber
Feb 20, 2007·American Journal of Physiology. Heart and Circulatory Physiology·Alberto PortaTomaso Gnecchi-Ruscone
May 30, 2008·Journal of Neuroscience Methods·Shuixia GuoJianfeng Feng
Jul 23, 2008·Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics·D MarinazzoS Stramaglia
Apr 7, 2010·Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics·L AngeliniS Stramaglia
Apr 7, 2010·Physical Review Letters·Lionel BarnettAnil K Seth
May 21, 2010·Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics·Adam B BarrettAnil K Seth
Oct 22, 2010·American Journal of Physiology. Regulatory, Integrative and Comparative Physiology·Alberto PortaNicola Montano
Dec 24, 2011·IEEE Transactions on Bio-medical Engineering·Alberto PortaStefano Guzzetti
Jun 8, 2012·Computational and Mathematical Methods in Medicine·D MarinazzoS Stramaglia
Dec 26, 2012·Current Opinion in Neurobiology·Karl FristonAnil K Seth
Jul 17, 2013·Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences·Alberto PortaLuc Quintin
Sep 24, 2013·Autonomic Neuroscience : Basic & Clinical·Andrea MarchiAlberto Porta
Jun 13, 2015·Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics·Adam B Barrett

❮ Previous
Next ❯

Related Concepts

Related Feeds

Antifungals

An antifungal, also known as an antimycotic medication, is a pharmaceutical fungicide or fungistatic used to treat and prevent mycosis such as athlete's foot, ringworm, candidiasis, cryptococcal meningitis, and others. Discover the latest research on antifungals here.

Antifungals (ASM)

An antifungal, also known as an antimycotic medication, is a pharmaceutical fungicide or fungistatic used to treat and prevent mycosis such as athlete's foot, ringworm, candidiasis, cryptococcal meningitis, and others. Discover the latest research on antifungals here.

Related Papers

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Alberto PortaSergio Cerutti
Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Alberto PortaRiccardo Colombo
Aviation, Space, and Environmental Medicine
Jinelle C GeinasPhilip N Ainslie
© 2021 Meta ULC. All rights reserved