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Journal Abstract Search


134 related items for PubMed ID: 9203145

  • 1. A multivariate time-variant AR method for the analysis of heart rate and arterial blood pressure.
    Di Virgilio V, Barbieri R, Mainardi L, Strano S, Cerutti S.
    Med Eng Phys; 1997 Mar; 19(2):109-24. PubMed ID: 9203145
    [Abstract] [Full Text] [Related]

  • 2. Multivariate time-variant identification of cardiovascular variability signals: a beat-to-beat spectral parameter estimation in vasovagal syncope.
    Mainardi LT, Bianchi AM, Furlan R, Piazza S, Barbieri R, di Virgilio V, Malliani A, Cerutti S.
    IEEE Trans Biomed Eng; 1997 Oct; 44(10):978-89. PubMed ID: 9311167
    [Abstract] [Full Text] [Related]

  • 3. Advanced spectral methods for detecting dynamic behaviour.
    Cerutti S, Bianchi AM, Mainardi LT.
    Auton Neurosci; 2001 Jul 20; 90(1-2):3-12. PubMed ID: 11485289
    [Abstract] [Full Text] [Related]

  • 4. The whale forgetting factor in recursive AR spectral analysis of heart rate variability signals.
    Bianchi AM, Mainardi LT, Cerutti S.
    Methods Inf Med; 1997 Dec 20; 36(4-5):241-5. PubMed ID: 9470368
    [Abstract] [Full Text] [Related]

  • 5. On-line beat-to-beat monitoring of spectral parameters of heart rate variability signal using a pole-tracking algorithm.
    Mainardi LT, Bianchi AM, Cerutti S.
    Methods Inf Med; 1994 Mar 20; 33(1):85-8. PubMed ID: 8177087
    [Abstract] [Full Text] [Related]

  • 6. Role of vagal control in vasovagal syncope.
    Suzuki M, Hori S, Nakamura I, Nagata S, Tomita Y, Aikawa N.
    Pacing Clin Electrophysiol; 2003 Feb 20; 26(2 Pt 1):571-8. PubMed ID: 12710316
    [Abstract] [Full Text] [Related]

  • 7. Extended Granger causality: a new tool to identify the structure of physiological networks.
    Schiatti L, Nollo G, Rossato G, Faes L.
    Physiol Meas; 2015 Apr 20; 36(4):827-43. PubMed ID: 25799172
    [Abstract] [Full Text] [Related]

  • 8. Spectral decomposition in multichannel recordings based on multivariate parametric identification.
    Baselli G, Porta A, Rimoldi O, Pagani M, Cerutti S.
    IEEE Trans Biomed Eng; 1997 Nov 20; 44(11):1092-101. PubMed ID: 9353988
    [Abstract] [Full Text] [Related]

  • 9. Heart rate and blood pressure variability in subjects with vasovagal syncope.
    Piccirillo G, Naso C, Moisè A, Lionetti M, Nocco M, Di Carlo S, De Laurentis T, Magrì D, Cacciafesta M, Marigliano V.
    Clin Sci (Lond); 2004 Jul 20; 107(1):55-61. PubMed ID: 14982493
    [Abstract] [Full Text] [Related]

  • 10. Cardiovascular regulation in the period preceding vasovagal syncope in conscious humans.
    Julu PO, Cooper VL, Hansen S, Hainsworth R.
    J Physiol; 2003 May 15; 549(Pt 1):299-311. PubMed ID: 12679368
    [Abstract] [Full Text] [Related]

  • 11. Automatic decomposition of Wigner distribution and its application to heart rate variability.
    Mainardi LT, Montano N, Cerutti S.
    Methods Inf Med; 2004 May 15; 43(1):17-21. PubMed ID: 15026829
    [Abstract] [Full Text] [Related]

  • 12. 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 15; 53(1):65-73. PubMed ID: 16402604
    [Abstract] [Full Text] [Related]

  • 13. Quantifying Net Synergy/Redundancy of Spontaneous Variability Regulation via Predictability and Transfer Entropy Decomposition Frameworks.
    Porta A, Bari V, De Maria B, Takahashi ACM, Guzzetti S, Colombo R, Catai AM, Raimondi F, Faes L.
    IEEE Trans Biomed Eng; 2017 Nov 15; 64(11):2628-2638. PubMed ID: 28103546
    [Abstract] [Full Text] [Related]

  • 14. Time- and frequency-domain analysis of beat to beat P-wave duration, PR interval and RR interval can predict asystole as form of syncope during head-up tilt.
    Piccirillo G, Moscucci F, Fiorucci C, Di Iorio C, Mastropietri F, Magrì D.
    Physiol Meas; 2016 Nov 15; 37(11):1910-1924. PubMed ID: 27681167
    [Abstract] [Full Text] [Related]

  • 15. Predicting vasovagal syncope from heart rate and blood pressure: A prospective study in 140 subjects.
    Virag N, Erickson M, Taraborrelli P, Vetter R, Lim PB, Sutton R.
    Heart Rhythm; 2018 Sep 15; 15(9):1404-1410. PubMed ID: 29715516
    [Abstract] [Full Text] [Related]

  • 16. Nonlinear coupling among heart rate, blood pressure, and respiration in patients susceptible to neuromediated syncope.
    Censi F, Calcagnini G, Strano S, Bartolini P, Barbaro V.
    Ann Biomed Eng; 2003 Oct 15; 31(9):1097-105. PubMed ID: 14582612
    [Abstract] [Full Text] [Related]

  • 17. Heart rate and blood pressure variability in orthostatic syncope.
    Lagi A, Cipriani M, Buccheri AM, Tamburini C.
    Clin Sci (Lond); 1996 Oct 15; 91 Suppl():62-4. PubMed ID: 8813829
    [Abstract] [Full Text] [Related]

  • 18. Inadequate sympathovagal balance in response to orthostatism in patients with unexplained syncope and a positive head up tilt test.
    Kouakam C, Lacroix D, Zghal N, Logier R, Klug D, Le Franc P, Jarwe M, Kacet S.
    Heart; 1999 Sep 15; 82(3):312-8. PubMed ID: 10455081
    [Abstract] [Full Text] [Related]

  • 19. 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 Sep 15; 2007():5955-8. PubMed ID: 18003370
    [Abstract] [Full Text] [Related]

  • 20. Pole-tracking algorithms for the extraction of time-variant heart rate variability spectral parameters.
    Mainardi LT, Bianchi AM, Baselli G, Cerutti S.
    IEEE Trans Biomed Eng; 1995 Mar 15; 42(3):250-9. PubMed ID: 7698780
    [Abstract] [Full Text] [Related]


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