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147 related items for PubMed ID: 17061952

  • 1. Mixed predictability and cross-validation to assess non-linear Granger causality in short cardiovascular variability series.
    Faes L, Cucino R, Nollo G.
    Biomed Tech (Berl); 2006 Oct; 51(4):255-9. PubMed ID: 17061952
    [Abstract] [Full Text] [Related]

  • 2. Assessment of Granger causality by nonlinear model identification: application to short-term cardiovascular variability.
    Faes L, Nollo G, Chon KH.
    Ann Biomed Eng; 2008 Mar; 36(3):381-95. PubMed ID: 18228143
    [Abstract] [Full Text] [Related]

  • 3. Prediction of short cardiovascular variability signals based on conditional distribution.
    Porta A, Baselli G, Guzzetti S, Pagani M, Malliani A, Cerutti S.
    IEEE Trans Biomed Eng; 2000 Dec; 47(12):1555-64. PubMed ID: 11125590
    [Abstract] [Full Text] [Related]

  • 4. Comparing generalized and phase synchronization in cardiovascular and cardiorespiratory signals.
    Pereda E, De la Cruz DM, De Vera L, González JJ.
    IEEE Trans Biomed Eng; 2005 Apr; 52(4):578-83. PubMed ID: 15825859
    [Abstract] [Full Text] [Related]

  • 5. A method for the time-varying nonlinear prediction of complex nonstationary biomedical signals.
    Faes L, Chon KH, Nollo G.
    IEEE Trans Biomed Eng; 2009 Feb; 56(2):205-9. PubMed ID: 19272876
    [Abstract] [Full Text] [Related]

  • 6. Causal transfer function analysis to describe closed loop interactions between cardiovascular and cardiorespiratory variability signals.
    Faes L, Porta A, Cucino R, Cerutti S, Antolini R, Nollo G.
    Biol Cybern; 2004 Jun; 90(6):390-9. PubMed ID: 15278463
    [Abstract] [Full Text] [Related]

  • 7. Assessing causality in normal and impaired short-term cardiovascular regulation via nonlinear prediction methods.
    Nollo G, Faes L, Antolini R, Porta A.
    Philos Trans A Math Phys Eng Sci; 2009 Apr 13; 367(1892):1423-40. PubMed ID: 19324717
    [Abstract] [Full Text] [Related]

  • 8. Time-varying surrogate data to assess nonlinearity in nonstationary time series: application to heart rate variability.
    Faes L, Zhao H, Chon KH, Nollo G.
    IEEE Trans Biomed Eng; 2009 Mar 13; 56(3):685-95. PubMed ID: 19272872
    [Abstract] [Full Text] [Related]

  • 9. Radial basis function approach to nonlinear Granger causality of time series.
    Ancona N, Marinazzo D, Stramaglia S.
    Phys Rev E Stat Nonlin Soft Matter Phys; 2004 Nov 13; 70(5 Pt 2):056221. PubMed ID: 15600742
    [Abstract] [Full Text] [Related]

  • 10. Causal cross-spectral analysis of heart rate and blood pressure variability for describing the impairment of the cardiovascular control in neurally mediated syncope.
    Faes L, Widesott L, Del Greco M, Antolini R, Nollo G.
    IEEE Trans Biomed Eng; 2006 Jan 13; 53(1):65-73. PubMed ID: 16402604
    [Abstract] [Full Text] [Related]

  • 11. Testing frequency-domain causality in multivariate time series.
    Faes L, Porta A, Nollo G.
    IEEE Trans Biomed Eng; 2010 Aug 13; 57(8):1897-906. PubMed ID: 20176533
    [Abstract] [Full Text] [Related]

  • 12. Statistical modeling of cardiovascular signals and parameter estimation based on the extended Kalman filter.
    McNames J, Aboy M.
    IEEE Trans Biomed Eng; 2008 Jan 13; 55(1):119-29. PubMed ID: 18232353
    [Abstract] [Full Text] [Related]

  • 13. Do nonlinearities play a significant role in short term, beat-to-beat variability?
    Choi HG, Mukkamala R, Moody GB, Mark RG.
    Comput Cardiol; 2001 Jan 13; 28():53-6. PubMed ID: 14640089
    [Abstract] [Full Text] [Related]

  • 14. Role of the autonomic nervous system in generating non-linear dynamics in short-term heart period variability.
    Porta A, Guzzetti S, Borroni E, Furlan R, Montano N, Malliani A.
    Biomed Tech (Berl); 2006 Oct 13; 51(4):174-7. PubMed ID: 17061932
    [Abstract] [Full Text] [Related]

  • 15. Identification of coupling direction: application to cardiorespiratory interaction.
    Rosenblum MG, Cimponeriu L, Bezerianos A, Patzak A, Mrowka R.
    Phys Rev E Stat Nonlin Soft Matter Phys; 2002 Apr 13; 65(4 Pt 1):041909. PubMed ID: 12005875
    [Abstract] [Full Text] [Related]

  • 16. Mutual nonlinear prediction as a tool to evaluate coupling strength and directionality in bivariate time series: comparison among different strategies based on k nearest neighbors.
    Faes L, Porta A, Nollo G.
    Phys Rev E Stat Nonlin Soft Matter Phys; 2008 Aug 13; 78(2 Pt 2):026201. PubMed ID: 18850915
    [Abstract] [Full Text] [Related]

  • 17. Short- and long-term variations in non-linear dynamics of heart rate variability.
    Kanters JK, Højgaard MV, Agner E, Holstein-Rathlou NH.
    Cardiovasc Res; 1996 Mar 13; 31(3):400-9. PubMed ID: 8681327
    [Abstract] [Full Text] [Related]

  • 18. Detection of nonlinearity in cardiovascular variability signals using cyclostationary analysis.
    Seydnejad S.
    Ann Biomed Eng; 2007 May 13; 35(5):744-54. PubMed ID: 17372836
    [Abstract] [Full Text] [Related]

  • 19. Estimation of spontaneous baroreflex sensitivity using transfer function analysis: effects of positive pressure ventilation.
    Glos M, Romberg D, Endres S, Fietze I.
    Biomed Tech (Berl); 2007 Feb 13; 52(1):66-72. PubMed ID: 17313337
    [Abstract] [Full Text] [Related]

  • 20. Surrogate data analysis for assessing the significance of the coherence function.
    Faes L, Pinna GD, Porta A, Maestri R, Nollo G.
    IEEE Trans Biomed Eng; 2004 Jul 13; 51(7):1156-66. PubMed ID: 15248532
    [Abstract] [Full Text] [Related]

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