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Riccardo Barbieri, PH.D.

TitleAssistant Professor of Anaesthesia
InstitutionMassachusetts General Hospital
DepartmentAnaesthesia
AddressMassachusetts General Hospital
Anesthesia & CC, C/O E Brown, Jackson 4
55 Fruit St
Boston MA 02114
Phone617/724-1061

 Overview 
 overview
NEW Phone: 617-724-1061
NEW e-mail: barbieri@neurostat.mit.edu

My research is devoted to mathematical modeling of neural and cardiovascular control systems by development and application of signal processing algorithms.

Cardiovascular Control. The specific aim is to investigate novel statistical models of cardiovascular control, providing new quantitative indices that could have important implications for research studies of cardiovascular and autonomic regulation and for heart rate monitoring in clinical settings. In my MA and PhD studies I have successfully investigated AR multivariate models applied to cardiovascular variables, and demonstrated their usefulness in providing new insights into cardiovascular regulation pathophysiology (Theses 1992, 1998; IEEE-EMB, 1997; IEEE-EMB, 2001; Am J Physiol RICP, 2002). More recently, I have derived new definitions of heart rate and heart rate variability under the assumption that the stochastic properties of the R-R intervals are governed by an inverse Gaussian renewal model (Am J Physiol: Heart and Circ Physiol, 2005). This framework gives a more physiologically sound representation of the stochastic structure in heart rate than those provided by current definitions and analysis methods. I further implemented an adaptive point process procedure, and demonstrated the ability of this method to track instantaneous dynamics in autonomic regulation of the cardiovascular system (IEEE-TBE, 2006). Recent work is focusing on more complex representations incorporating the point process framework into models of cardiovascular control and autonomic regulation, with inclusion of other cardiovascular variables such as arterial blood pressure, central venous pressure and respiration (IEEE-TBE, 2009, 2010). I am the Principal Investigator of NIH-NHLBI Grant HL084502 entitled “Point Process Models of Human Heart Beat Interval Dynamics”. The project is in collaboration with Dr. Emery Brown and Dr. Sara Lazar from Massachusetts General Hospital, Dr. Elizabeth B. Klerman from Brigham and Women's Hospital, Dr. Roger Mark from Massachusetts Institute of Technology, and Dr. J Philip Saul from Medical University of South Carolina.

Neural Systems. Studies focus on how individual and ensembles of neurons encode information about relevant biological stimuli, using point process models of spatial information representation in rat hippocampal neurons. This work is in collaboration with Dr. Matthew Wilson at MIT, and Dr. Loren Frank at UCSF. My initial research on modeling the single neuron by using non-Poisson stimulus-response models of neural spike train activity demonstrated that these models provide more accurate descriptions of the local spiking properties of the neuron (J Neurosci Meth. 2001). I further implemented Bayesian decoding algorithms for position estimation. Using only the recorded spiking activity of 30 cells, the most refined paradigm is now able to obtain position estimates with errors as small as 5 cm (Neural Comp, 2004). Future work will consider models with more complex history dependence, multivariate interactions among cells (SFN Conference, 2003), as well as application of point process adaptive filter algorithms for estimation of neural plasticity in ensemble neural spike train decoding (SFN Conference, 2005).

My long-term goal is to further bring together my experience in the cardiovascular field with the more recent knowledge in quantitative neurosciences, and to create a unique research environment specialized in studying the complex interrelations between brain and physiology of the human body by means of mathematical modeling and signal processing techniques. My primary teaching responsibilities concern the supervision of some of the undergraduates, graduate students, medical students and postdoctoral fellows pursuing their research projects at NSRL.

Please visit my main homepage for further details:
http://users.neurostat.mit.edu/barbieri/


 Bibliographic 
 selected publications
Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
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  1. Citi L, Ba D, Brown EN, Barbieri R. Likelihood methods for point processes with refractoriness. Neural Comput. 2014 Feb; 26(2):237-63.
    View in: PubMed
  2. Onorati F, Barbieri R, Mauri M, Russo V, Mainardi L. Characterization of affective states by pupillary dynamics and autonomic correlates. Front Neuroeng. 2013; 6:9.
    View in: PubMed
  3. Onorati F, Barbieri R, Mauri M, Russo V, Mainardi L. Reconstruction and analysis of the pupil dilation signal: Application to a psychophysiological affective protocol. Conf Proc IEEE Eng Med Biol Soc. 2013 Jul; 2013:5-8.
    View in: PubMed
  4. Valenza G, Citi L, Lanata A, Scilingo EP, Barbieri R. A nonlinear heartbeat dynamics model approach for personalized emotion recognition. Conf Proc IEEE Eng Med Biol Soc. 2013 Jul; 2013:2579-82.
    View in: PubMed
  5. Valenza G, Citi L, Barbieri R. Instantaneous nonlinear assessment of complex cardiovascular dynamics by laguerre-volterra point process models. Conf Proc IEEE Eng Med Biol Soc. 2013 Jul; 2013:6131-4.
    View in: PubMed
  6. Indic P, Paydarfar D, Barbieri R. Point process modeling of interbreath interval: a new approach for the assessment of instability of breathing in neonates. IEEE Trans Biomed Eng. 2013 Oct; 60(10):2858-66.
    View in: PubMed
  7. Chen Z, Barbieri R. Editorial: engineering approaches to study cardiovascular physiology: modeling, estimation, and signal processing. Front Physiol. 2012; 3:425.
    View in: PubMed
  8. Citi L, Brown EN, Barbieri R. A real-time automated point-process method for the detection and correction of erroneous and ectopic heartbeats. IEEE Trans Biomed Eng. 2012 Oct; 59(10):2828-37.
    View in: PubMed
  9. Citi L, Valenza G, Barbieri R. Instantaneous estimation of high-order nonlinear heartbeat dynamics by Lyapunov exponents. Conf Proc IEEE Eng Med Biol Soc. 2012 Aug; 2012:13-6.
    View in: PubMed
  10. Citi L, Valenza G, Purdon PL, Brown EN, Barbieri R. Monitoring heartbeat nonlinear dynamics during general anesthesia by using the instantaneous dominant Lyapunov exponent. Conf Proc IEEE Eng Med Biol Soc. 2012 Aug; 2012:3124-7.
    View in: PubMed
  11. Valenza G, Citi L, Scilingo EP, Barbieri R. Using Laguerre expansion within point-process models of heartbeat dynamics: A comparative study. Conf Proc IEEE Eng Med Biol Soc. 2012 Aug; 2012:29-32.
    View in: PubMed
  12. Orini M, Citi L, Barbieri R. Bivariate point process modeling and joint non-stationary analysis of pulse transit time and heart period. Conf Proc IEEE Eng Med Biol Soc. 2012 Aug; 2012:2831-4.
    View in: PubMed
  13. Napadow V, Lee J, Kim J, Cina S, Maeda Y, Barbieri R, Harris RE, Kettner N, Park K. Brain correlates of phasic autonomic response to acupuncture stimulation: An event-related fMRI study. Hum Brain Mapp. 2013 Oct; 34(10):2592-606.
    View in: PubMed
  14. Kodituwakku S, Lazar SW, Indic P, Chen Z, Brown EN, Barbieri R. Point process time-frequency analysis of dynamic respiratory patterns during meditation practice. Med Biol Eng Comput. 2012 Mar; 50(3):261-75.
    View in: PubMed
  15. Chen Z, Purdon PL, Brown EN, Barbieri R. A unified point process probabilistic framework to assess heartbeat dynamics and autonomic cardiovascular control. Front Physiol. 2012; 3:4.
    View in: PubMed
  16. Indic P, Bloch-Salisbury E, Bednarek F, Brown EN, Paydarfar D, Barbieri R. Assessment of cardio-respiratory interactions in preterm infants by bivariate autoregressive modeling and surrogate data analysis. Early Hum Dev. 2011 Jul; 87(7):477-87.
    View in: PubMed
  17. LaCount LT, Barbieri R, Park K, Kim J, Brown EN, Kuo B, Napadow V. Static and dynamic autonomic response with increasing nausea perception. Aviat Space Environ Med. 2011 Apr; 82(4):424-33.
    View in: PubMed
  18. Indic P, Paydarfar D, Barbieri R. A point process model of respiratory dynamics in early physiological development. Conf Proc IEEE Eng Med Biol Soc. 2011; 2011:3804-7.
    View in: PubMed
  19. Ellis RJ, Citi L, Barbieri R. A point process approach for analyzing gait variability dynamics. Conf Proc IEEE Eng Med Biol Soc. 2011; 2011:1648-51.
    View in: PubMed
  20. Chen Z, Citi L, Purdon PL, Brown EN, Barbieri R. Instantaneous assessment of autonomic cardiovascular control during general anesthesia. Conf Proc IEEE Eng Med Biol Soc. 2011; 2011:8444-7.
    View in: PubMed
  21. Citi L, Bianchi MT, Klerman EB, Barbieri R. Instantaneous monitoring of sleep fragmentation by point process heart rate variability and respiratory dynamics. Conf Proc IEEE Eng Med Biol Soc. 2011; 2011:7735-8.
    View in: PubMed
  22. Citi L, Djilas M, Azevedo-Coste C, Yoshida K, Brown EN, Barbieri R. Point-process analysis of neural spiking activity of muscle spindles recorded from thin-film longitudinal intrafascicular electrodes. Conf Proc IEEE Eng Med Biol Soc. 2011; 2011:2311-4.
    View in: PubMed
  23. Chen Z, Purdon PL, Harrell G, Pierce ET, Walsh J, Brown EN, Barbieri R. Dynamic assessment of baroreflex control of heart rate during induction of propofol anesthesia using a point process method. Ann Biomed Eng. 2011 Jan; 39(1):260-76.
    View in: PubMed
  24. Chen Z, Putrino DF, Ghosh S, Barbieri R, Brown EN. Statistical inference for assessing functional connectivity of neuronal ensembles with sparse spiking data. IEEE Trans Neural Syst Rehabil Eng. 2011 Apr; 19(2):121-35.
    View in: PubMed
  25. Wyller VB, Barbieri R, Saul JP. Blood pressure variability and closed-loop baroreflex assessment in adolescent chronic fatigue syndrome during supine rest and orthostatic stress. Eur J Appl Physiol. 2011 Mar; 111(3):497-507.
    View in: PubMed
  26. Chen Z, Brown EN, Barbieri R. Characterizing nonlinear heartbeat dynamics within a point process framework. IEEE Trans Biomed Eng. 2010 Jun; 57(6):1335-47.
    View in: PubMed
  27. Kodituwakku S, Lazar SW, Indic P, Brown EN, Barbieri R. Point process time-frequency analysis of respiratory sinus arrhythmia under altered respiration dynamics. Conf Proc IEEE Eng Med Biol Soc. 2010; 2010:1622-5.
    View in: PubMed
  28. Mauri M, Magagnin V, Cipresso P, Mainardi L, Brown EN, Cerutti S, Villamira M, Barbieri R. Psychophysiological signals associated with affective states. Conf Proc IEEE Eng Med Biol Soc. 2010; 2010:3563-6.
    View in: PubMed
  29. Chen Z, Purdon PL, Brown EN, Barbieri R. A differential autoregressive modeling approach within a point process framework for non-stationary heartbeat intervals analysis. Conf Proc IEEE Eng Med Biol Soc. 2010; 2010:3567-70.
    View in: PubMed
  30. Nguyen DP, Wilson MA, Brown EN, Barbieri R. Measuring instantaneous frequency of local field potential oscillations using the Kalman smoother. J Neurosci Methods. 2009 Nov 15; 184(2):365-74.
    View in: PubMed
  31. Chen Z, Vijayan S, Barbieri R, Wilson MA, Brown EN. Discrete- and continuous-time probabilistic models and algorithms for inferring neuronal UP and DOWN states. Neural Comput. 2009 Jul; 21(7):1797-862.
    View in: PubMed
  32. Nguyen DP, Kloosterman F, Barbieri R, Brown EN, Wilson MA. Characterizing the dynamic frequency structure of fast oscillations in the rodent hippocampus. Front Integr Neurosci. 2009; 3:11.
    View in: PubMed
  33. Chen Z, Purdon P, Pierce E, Harrell G, Brown E, Barbieri R. Assessment of Baroreflex Control of Heart Rate During General Anesthesia Using a Point Process Method. Proc IEEE Int Conf Acoust Speech Signal Process. 2009 May 26; 2009:333-336.
    View in: PubMed
  34. Chen Z, Brown EN, Barbieri R. Assessment of autonomic control and respiratory sinus arrhythmia using point process models of human heart beat dynamics. IEEE Trans Biomed Eng. 2009 Jul; 56(7):1791-802.
    View in: PubMed
  35. Chen Z, Purdon PL, Pierce ET, Harrell G, Walsh J, Salazar AF, Tavares CL, Brown EN, Barbieri R. Linear and nonlinear quantification of respiratory sinus arrhythmia during propofol general anesthesia. Conf Proc IEEE Eng Med Biol Soc. 2009; 2009:5336-9.
    View in: PubMed
  36. Chen Z, Putrino DF, Ba DE, Ghosh S, Barbieri R, Brown EN. A regularized point process generalized linear model for assessing the functional connectivity in the cat motor cortex. Conf Proc IEEE Eng Med Biol Soc. 2009; 2009:5006-9.
    View in: PubMed
  37. Chen Z, Brown E, Barbieri R. A Point Process Approach to Assess Dynamic Baroreflex Gain. Comput Cardiol. 2008 Sep 14; 35:805-808.
    View in: PubMed
  38. Wyller VB, Saul JP, Barbieri R, de Lange C, Hopp E, Norum IB, Thaulow E. Autonomic heart rate control at rest and during unloading of the right ventricle in repaired tetralogy of Fallot in adolescents. Am J Cardiol. 2008 Oct 15; 102(8):1085-9.
    View in: PubMed
  39. Napadow V, Dhond R, Conti G, Makris N, Brown EN, Barbieri R. Brain correlates of autonomic modulation: combining heart rate variability with fMRI. Neuroimage. 2008 Aug 1; 42(1):169-77.
    View in: PubMed
  40. Barbieri R, Brown EN. Application of dynamic point process models to cardiovascular control. Biosystems. 2008 Jul-Aug; 93(1-2):120-5.
    View in: PubMed
  41. Chen Z, Brown E, Barbieri R. A Study of Probabilistic Models for Characterizing Human Heart Beat Dynamics in Autonomic Blockade Control. Proc IEEE Int Conf Acoust Speech Signal Process. 2008 Mar 31; 481-484.
    View in: PubMed
  42. Nguyen DP, Barbieri R, Wilson MA, Brown EN. Instantaneous frequency and amplitude modulation of EEG in the hippocampus reveals state dependent temporal structure. Conf Proc IEEE Eng Med Biol Soc. 2008; 2008:1711-5.
    View in: PubMed
  43. Chen Z, Brown EN, Barbieri R. Characterizing nonlinear heartbeat dynamics within a point process framework. Conf Proc IEEE Eng Med Biol Soc. 2008; 2008:2781-4.
    View in: PubMed
  44. Wyller VB, Barbieri R, Thaulow E, Saul JP. Enhanced vagal withdrawal during mild orthostatic stress in adolescents with chronic fatigue. Ann Noninvasive Electrocardiol. 2008 Jan; 13(1):67-73.
    View in: PubMed
  45. Barbieri R, Chen Z, Brown EN. Assessment of hippocampal and autonomic neural activity by point process models. Conf Proc IEEE Eng Med Biol Soc. 2008; 2008:3679.
    View in: PubMed
  46. Ergün A, Barbieri R, Eden UT, Wilson MA, Brown EN. Construction of point process adaptive filter algorithms for neural systems using sequential Monte Carlo methods. IEEE Trans Biomed Eng. 2007 Mar; 54(3):419-28.
    View in: PubMed
  47. Barbieri R, Brown EN. Analysis of heartbeat dynamics by point process adaptive filtering. IEEE Trans Biomed Eng. 2006 Jan; 53(1):4-12.
    View in: PubMed
  48. Barbieri R, Brown EN. Correction of erroneous and ectopic beats using a point process adaptive algorithm. Conf Proc IEEE Eng Med Biol Soc. 2006; 1:3373-6.
    View in: PubMed
  49. Scotti S, Mauri M, Barbieri R, Jawad B, Cerutti S, Mainardi L, Brown EN, Villamira MA. Automatic quantitative evaluation of emotions in E-learning applications. Conf Proc IEEE Eng Med Biol Soc. 2006; 1:1359-62.
    View in: PubMed
  50. Barbieri R, Wilson MA, Frank LM, Brown EN. An analysis of hippocampal spatio-temporal representations using a Bayesian algorithm for neural spike train decoding. IEEE Trans Neural Syst Rehabil Eng. 2005 Jun; 13(2):131-6.
    View in: PubMed
  51. Barbieri R, Frank LM, Quirk MC, Wilson MA, Brown EN. . Dynamic analysis of spatial information by decoding ensemble place cell spiking activity with point process adaptive filtering. Soc. Neurosci. Abst. 2005; 198.14.
  52. Brown EN, Barbieri R. Dynamic Analyses of Neural Representations Using the State-Space Modeling Paradigm. . The Cell Biology of Addiction. Madras B, Von Zastrow M, Colvis C, Rutter J, Shurtleff D, Pollock J. 2005; 415-432..
  53. Carrington MJ, Barbieri R, Colrain IM, Crowley KE, Kim Y, Trinder J. Changes in cardiovascular function during the sleep onset period in young adults. J Appl Physiol. 2005 Feb; 98(2):468-76.
    View in: PubMed
  54. Barbieri R, Matten EC, Alabi AA, Brown EN. A point-process model of human heartbeat intervals: new definitions of heart rate and heart rate variability. Am J Physiol Heart Circ Physiol. 2005 Jan; 288(1):H424-35.
    View in: PubMed
  55. Barbieri R, Brown EN, Matten EC. An algorithm and procedure for computing and analyzing heart rate and heart rate variability. 2004.
  56. Eden UT, Frank LM, Barbieri R, Solo V, Brown EN. Dynamic analysis of neural encoding by point process adaptive filtering. Neural Comput. 2004 May; 16(5):971-98.
    View in: PubMed
  57. Barbieri R, Frank LM, Nguyen DP, Quirk MC, Solo V, Wilson MA, Brown EN. Dynamic analyses of information encoding in neural ensembles. Neural Comput. 2004 Feb; 16(2):277-307.
    View in: PubMed
  58. Barbieri R, Frank LM, Quirk MC, Wilson MA, Brown EN. . Spatial information representation by decoding ensemble place cell spiking activity with neuronal interaction and prospective/retrospective time dependence. Soc. Neurosci. Abst. 2004; 330.11.
  59. Barbieri R, Brown E. A point process adaptive filter for time-variant analysis of heart rate variability. Conf Proc IEEE Eng Med Biol Soc. 2004; 6:3941-4.
    View in: PubMed
  60. Barbieri R, Frank LM, Nguyen DP, Quirk MC, Solo V, Wilson MA, Brown EN. A Bayesian decoding algorithm for analysis of information encoding in neural ensembles. Conf Proc IEEE Eng Med Biol Soc. 2004; 6:4483-6.
    View in: PubMed
  61. Barbieri R, Frank LM, Nguyen DP, Quirk MC, Solo V, Wilson MA, Brown EN. . A Bayesian decoding algorithm for analysis of information encoding in neural ensembles. IEEE EMBC 0-7803-8439-3/04. 2004; 4483-4486.
  62. Barbieri R, Brown EN. . A point process adaptive filter for time-variant analysis of heart rate variability. IEEE EMBC 0-7803-8439-3/04. 2004; 3941-3944.
  63. Barbieri R, Frank LM, Quirk MC, Wilson MA, Brown EN. . Accurate characterization of CA1 place cell spiking activity with parametric and non-parametric probability models. Soc. Neurosci. Abst. 2003; 91.16.
  64. Barbieri R, Matten EC, Brown EN. . Instantaneous monitoring of heart rate variability. IEEE EMBC 0-7803-7789-3/03. 2003; 204-207.
  65. Barbieri R, Triedman JK, Saul JP. Heart rate control and mechanical cardiopulmonary coupling to assess central volume: a systems analysis. Am J Physiol Regul Integr Comp Physiol. 2002 Nov; 283(5):R1210-20.
    View in: PubMed
  66. Barbieri R, Frank LM, Quirk MC, Solo V, Wilson MA, Brown EN. Construction and analysis of non-gaussian place field models of neural spiking activity. Neurocomputing. 2002; 44-46:309-14.
  67. Brown EN, Barbieri R, Ventura V, Kass RE, Frank LM. The time-rescaling theorem and its application to neural spike train data analysis. Neural Comput. 2002 Feb; 14(2):325-46.
    View in: PubMed
  68. Eden UT, Frank LM, Smith A, Barbieri R, Brown EN. . Adaptive filtering algorithms for neural encoding and decoding. Soc. Neurosci. Abst. 2002; 28:405.15.
  69. Eden UT, Frank LM, Barbieri R, Solo V, Brown EN. . Adaptive filtering algorithms for neural spike trains. Computational Neuroscience Abst. 2002.
  70. Barbieri R, Frank LM, Quirk MC, Wilson MA, Brown EN. . Construction and analysis of non-gaussian place field models of neural spiking activity. Computational Neuroscience Abst. 2002.
  71. Barbieri R, Frank LM, Quirk MC, Wilson MA, Brown EN. . Spatial information representation by decoding ensemble place cell spiking activity with a Zernike place-field model. Soc. Neurosci. Abst. 2002; 28:677.3.
  72. Barbieri R, Quirk MC, Frank LM, Wilson MA, Brown EN. . Diagnostic methods for statistical models of place cell spiking activity. Neurocomputing. 2001; 38-40:1087-93.
  73. Watkins TW, Barbieri R, Hammer PE, Volpe JJ, Saul JP. . The high pass nature of cerebral autoregulation in extremely preterm neonates and its relation to brain injury. Pediatr. Res. 2001; 49:351A.
  74. Barbieri R, Parati G, Saul JP. Closed- versus open-loop assessment of heart rate baroreflex. IEEE Eng Med Biol Mag. 2001 Mar-Apr; 20(2):33-42.
    View in: PubMed
  75. Barbieri R, Quirk MC, Frank LM, Wilson MA, Brown EN. Construction and analysis of non-Poisson stimulus-response models of neural spiking activity. J Neurosci Methods. 2001 Jan 30; 105(1):25-37.
    View in: PubMed
  76. Frank LM, Eden UT, Barbieri R, Solo V, Wilson MA, Brown EN. . Tracking receptive field dynamics in CA1 and the entorhinal cortex with an adaptive point process filtering algorithm. Soc. Neurosci. Abst. 2001; 27:953.2.
  77. Barbieri R, Frank LM, Quirk MC, Wilson MA, Brown EN. . Measuring the precision of spatial information representation by decoding ensemble place cell spiking activity. Soc. Neurosci. Abst. 2001; 27:953.3.
  78. Barbieri R, Quirk MC, Frank LM, Wilson MA, Brown EN. . Diagnostic methods for statistical models of place cell spiking activity. Computational Neuroscience Abst. 2001.
  79. Brown EN, Barbieri R, Eden UT, Frank LM. Likelihood methods for neural data analysis. Computational Neuroscience: A Comprehensive Approach. Feng J, ed. London: CRC. 2001; 253-286.
  80. Barbieri R, Quirk MC, Frank LM, Wilson MA, Brown EN. . A time-dependent analysis of spatial information encoding in the rat hippocampus. Neurocomputing. 2000; 32-33:629-35.
  81. Barbieri R, Frank LM, Quirk MC, Wilson MA, Brown EN. . Construction and analysis of the inhomogeneous inverse Gaussian probability model of place cell spiking activity. Soc. Neurosci. Abst. 2000; 26:716.
  82. Barbieri R, Quirk MC, Frank LM, Wilson MA, Brown EN. . A time-dependent analysis of spatial information encoding in the rat hippocampus. Computational Neuroscience Abst. 2000.
  83. Barbieri R, Saul JP. . Autoregressive modeling for assessing closed-loop feedback and feedforward in the arterial baroreflex. Methodology and Clinical Applications of Blood Pressure. M. Di Rienzo et al. (eds). IOS press. 1999; 21-34.
  84. Barbieri R, Quirk MC, Frank LM, Wilson MA, Brown EN. . Constructing a time-dependent gamma probability model of spatial information encoding in the rat hippocampus. Computational Neuroscience Abst. 1999.
  85. Barbieri R, Quirk MC, Frank LM, Mittendorff R, Wilson MA, Brown EN. . A statistical model of hippocampal phase precession. Soc. Neurosci. Abst. 1999; 25:1387.
  86. Brown EN, Frank LM, Barbieri R, Quirk MC, Wilson MA. . A time-dependent gamma distribution model of spike train activity in hippocampal place cells. Soc. Neurosci. Abst. 1998; 24:931.
  87. Barbieri R. . “Circulatory Control System Identification: Multivariate Autoregressive Spectral Analysis”. 1998.
  88. Mainardi LT, Bianchi AM, Furlan R, Piazza S, Barbieri R, di Virgilio V, Malliani A, Cerutti S. Multivariate time-variant identification of cardiovascular variability signals: a beat-to-beat spectral parameter estimation in vasovagal syncope. IEEE Trans Biomed Eng. 1997 Oct; 44(10):978-89.
    View in: PubMed
  89. Barbieri R, Bianchi AM, Triedman JK, Mainardi LT, Cerutti S, Saul JP. Model dependency of multivariate autoregressive spectral analysis. IEEE Eng Med Biol Mag. 1997 Sep-Oct; 16(5):74-85.
    View in: PubMed
  90. Di Virgilio V, Barbieri R, Mainardi L, Strano S, Cerutti S. A multivariate time-variant AR method for the analysis of heart rate and arterial blood pressure. Med Eng Phys. 1997 Mar; 19(2):109-24.
    View in: PubMed
  91. Barbieri R, Di Virgilio V, Cerutti S, Saul JP. . Multivariate time-variant autoregressive techniques for closed-loop cardiovascular control using simulations and comparisons. Frontiers of Blood Pressure and Heart Rate Analysis. M. Di Rienzo et al. (eds). IOS press. 1997; 101-114.
  92. Barbieri R, Waldmann RA, Di Virgilio V, Triedman JK, Bianchi AM, Cerutti S, Saul JP. Continuous quantification of baroreflex and respiratory control of heart rate by use of bivariate autoregressive techniques. Annals of Noninvasive Electrocardiology. 1996; 3:264-77.
  93. Di Virgilio V, Ferzi A, Barbieri R, Lanza GA, Lupi A, Maseri A, Cerutti S. . Autoregressive time-variant analysis of transient ischemic attacks. IEEE EMBS. 1996.
  94. Barbieri R, Triedman JK, Di Virgilio V, Cerutti S, Saul JP. . Arterial pressure control during during non-hypo/hypertensive changes in central venous volume: assessment with multivariate autoregressive modeling. IEEE 0276-6547/94. 1996; 85-88.
  95. Sobh JF, Risk MR, Barbieri R, Saul JP. . Database for ECG, arterial blood pressure, and respiration signal analysis: feature extraction, spectral estimation, and parameter quantification. IEEE 0-7803-2475-7/95. 1995; 955-956.
  96. Risk MR, Sobh JF, Barbieri R, Saul JP. . A simple algorithm for QRS peak location: use on long-term ECG recordings from the HMS-MIT-FFMS database. IEEE 0-7803-2475-7/95. 1995; 201-202.
  97. Barbieri R, Di Virgilio V, Triedman JK, Bianchi AM, Cerutti S, Saul JP. . Multivariate autoregressive spectral analysis: heart rate baroreflex and respiratory influence under administration of atropine and propranolol. IEEE 0-7803-2475-7/95. 1995; 947-948.
  98. Barbieri R, Di Virgilio V, Triedman JK, Bianchi AM, Cerutti S, Saul JP. . Continuous quantification of respiratory and baroreflex control of heart rate: use of time-variant bivariate spectral analysis. IEEE 0276-6547/94. 1994; 765-768.
  99. Cerutti S, Mainardi LT, Bianchi AM, Barbieri R, Di Virgilio V, Piazza S, Furlan R, Baselli G. . Time-variant parametric model for the 24-h evaluation of the closed-loop alpha-baroceptive gain. IEEE 0-7803-1377-1/93. 1993; 564-565.
  100. Signorini MG, Barbieri R, Baselli G, Bianchi AM, Di Virgilio V, Furlan R, Mainardi LT, Piazza S, Cerutti S. . Analysis of beat-to-beat 24-h -baroceptive gain: study of non linear dynamics. IEEE 0-7803-1377-1/93. 1993; 475-476.
  101. Mainardi LT, Bianchi AM, Barbieri R, Di Virgilio V, Piazza S, Furlan R, Baselli G, Cerutti S. . Time-variant closed-loop interactions between HR and ABP variability signals during syncope. IEEE 0276-6547/93. 1993.
  102. Barbieri R. . "Analisi spettrale del segnale di variabilita' cardiaca in pazienti sottoposti a trapianto cardiaco ortotopico”, (“Spectral analysis of heart rate variability signal in subjects after cardiac transplant”). 1992.
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