These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

124 related articles for article (PubMed ID: 18850915)

  • 1. 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; 78(2 Pt 2):026201. PubMed ID: 18850915
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Bivariate nonlinear prediction to quantify the strength of complex dynamical interactions in short-term cardiovascular variability.
    Faes L; Nollo G
    Med Biol Eng Comput; 2006 May; 44(5):383-92. PubMed ID: 16937180
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Mutual nonlinear prediction of cardiovascular variability series: comparison between exogenous and autoregressive exogenous models.
    Faes L; Porta A; Nollo G
    Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():5955-8. PubMed ID: 18003370
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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; 367(1892):1423-40. PubMed ID: 19324717
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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; 65(4 Pt 1):041909. PubMed ID: 12005875
    [TBL] [Abstract][Full Text] [Related]  

  • 8. On the validity of the state space correspondence strategy based on k-nearest neighbor cross-predictability in assessing directionality in stochastic systems: Application to cardiorespiratory coupling estimation.
    Porta A; de Abreu RM; Bari V; Gelpi F; De Maria B; Catai AM; Cairo B
    Chaos; 2024 May; 34(5):. PubMed ID: 38717411
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Model-free causality analysis of cardiovascular variability detects the amelioration of autonomic control in Parkinson's disease patients undergoing mechanical stimulation.
    Bassani T; Bari V; Marchi A; Tassin S; Dalla Vecchia L; Canesi M; Barbic F; Furlan R; Porta A
    Physiol Meas; 2014 Jul; 35(7):1397-408. PubMed ID: 24875165
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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; 70(5 Pt 2):056221. PubMed ID: 15600742
    [TBL] [Abstract][Full Text] [Related]  

  • 12. On the Different Abilities of Cross-Sample Entropy and K-Nearest-Neighbor Cross-Unpredictability in Assessing Dynamic Cardiorespiratory and Cerebrovascular Interactions.
    Porta A; Bari V; Gelpi F; Cairo B; De Maria B; Tonon D; Rossato G; Faes L
    Entropy (Basel); 2023 Apr; 25(4):. PubMed ID: 37190390
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 14. k-Nearest neighbour local linear prediction of scalp EEG activity during intermittent photic stimulation.
    Erla S; Faes L; Tranquillini E; Orrico D; Nollo G
    Med Eng Phys; 2011 May; 33(4):504-12. PubMed ID: 21216649
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Comparing Cross-Sample Entropy and K-Nearest-Neighbor Cross-Predictability Approaches for the Evaluation of Cardiorespiratory and Cerebrovascular Dynamic Interactions.
    Porta A; Bari V; Gelpi F; Cairo B; De Maria B; Tonon D; Rossato G; Faes L
    Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():127-130. PubMed ID: 36085935
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Detecting determinism with improved sensitivity in time series: rank-based nonlinear predictability score.
    Naro D; Rummel C; Schindler K; Andrzejak RG
    Phys Rev E Stat Nonlin Soft Matter Phys; 2014 Sep; 90(3):032913. PubMed ID: 25314510
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Nonlinear dynamical analysis of noisy time series.
    Heathcote A; Elliott D
    Nonlinear Dynamics Psychol Life Sci; 2005 Oct; 9(4):399-433. PubMed ID: 16194300
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Decomposing the Mutual Information Rate of Heart Period and Respiration Variability Series to Assess Cardiorespiratory Interactions.
    Pinto H; Antonacci Y; Pernice R; Bara C; Javorka M; Faes L; Rocha AP
    Annu Int Conf IEEE Eng Med Biol Soc; 2023 Jul; 2023():1-4. PubMed ID: 38083242
    [TBL] [Abstract][Full Text] [Related]  

  • 19. An improved algorithm for the detection of dynamical interdependence in bivariate time-series.
    Terry JR; Breakspear M
    Biol Cybern; 2003 Feb; 88(2):129-36. PubMed ID: 12567227
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Comparison of six methods for the detection of causality in a bivariate time series.
    Krakovská A; Jakubík J; Chvosteková M; Coufal D; Jajcay N; Paluš M
    Phys Rev E; 2018 Apr; 97(4-1):042207. PubMed ID: 29758597
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.