Literature DB >> 19593392

A Study of Probabilistic Models for Characterizing Human Heart Beat Dynamics in Autonomic Blockade Control.

Z Chen1, En Brown, R Barbieri.   

Abstract

In this paper, we compare and validate different probabilistic models of human heart beat intervals for assessment of the electrocardiogram data recorded with varying conditions in posture and pharmacological autonomic blockade. The models are validated using the adaptive point process filtering paradigm and Kolmogorov-Smirnov test. The inverse Gaussian model was found to achieve the overall best performance in the analysis of autonomic control. We further improve the model by incorporating the respiratory covariate measurements and present dynamic respiratory sinus arrhythmia (RSA) analysis. Our results suggest the instantaneous RSA gain computed from our proposed model as a potential index of vagal control dynamics.

Entities:  

Year:  2008        PMID： 19593392      PMCID： PMC2707847          DOI： 10.1109/ICASSP.2008.4517651

Source DB:  PubMed          Journal:  Proc IEEE Int Conf Acoust Speech Signal Process        ISSN： 1520-6149


  7 in total

1.  A point-process model of human heartbeat intervals: new definitions of heart rate and heart rate variability.

Authors:  Riccardo Barbieri; Eric C Matten; Abdulrasheed A Alabi; Emery N Brown
Journal:  Am J Physiol Heart Circ Physiol       Date:  2004-09-16       Impact factor: 4.733

2.  Analysis of heartbeat dynamics by point process adaptive filtering.

Authors:  Riccardo Barbieri; Emery N Brown
Journal:  IEEE Trans Biomed Eng       Date:  2006-01       Impact factor: 4.538

3.  Age and autonomic effects on interrelationships between lung volume and heart rate.

Authors:  G Stanley; D Verotta; N Craft; R A Siegel; J B Schwartz
Journal:  Am J Physiol       Date:  1996-05

4.  Model dependency of multivariate autoregressive spectral analysis.

Authors:  R Barbieri; A M Bianchi; J K Triedman; L T Mainardi; S Cerutti; J P Saul
Journal:  IEEE Eng Med Biol Mag       Date:  1997 Sep-Oct

5.  Application of linear and nonlinear time series modeling to heart rate dynamics analysis.

Authors:  D J Christini; F M Bennett; K R Lutchen; H M Ahmed; J M Hausdorff; N Oriol
Journal:  IEEE Trans Biomed Eng       Date:  1995-04       Impact factor: 4.538

6.  Heart rate variability: standards of measurement, physiological interpretation and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology.

Authors: 
Journal:  Circulation       Date:  1996-03-01       Impact factor: 29.690

7.  Autoregressive modeling and power spectral estimate of R-R interval time series in arrhythmic patients.

Authors:  G Baselli; D Bolis; S Cerutti; C Freschi
Journal:  Comput Biomed Res       Date:  1985-12
  7 in total
  10 in total

1.  Characterizing nonlinear heartbeat dynamics within a point process framework.

Authors:  Zhe Chen; Emery N Brown; Riccardo Barbieri
Journal:  IEEE Trans Biomed Eng       Date:  2010-02-17       Impact factor: 4.538

2.  Interaction between Heart Rate Variability and Respiration in Preterm Infants.

Authors:  P Indic; Eb Salisbury; D Paydarfar; En Brown; R Barbieri
Journal:  Comput Cardiol       Date:  2008-09

3.  Characterizing nonlinear heartbeat dynamics within a point process framework.

Authors:  Zhe Chen; Emery N Brown; Riccardo Barbieri
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2008

4.  Assessment of Baroreflex Control of Heart Rate During General Anesthesia Using a Point Process Method.

Authors:  Z Chen; Pl Purdon; Et Pierce; G Harrell; En Brown; R Barbieri
Journal:  Proc IEEE Int Conf Acoust Speech Signal Process       Date:  2009-05-26

5.  Dynamic assessment of baroreflex control of heart rate during induction of propofol anesthesia using a point process method.

Authors:  Zhe Chen; Patrick L Purdon; Grace Harrell; Eric T Pierce; John Walsh; Emery N Brown; Riccardo Barbieri
Journal:  Ann Biomed Eng       Date:  2010-10-13       Impact factor: 3.934

6.  Linear and nonlinear quantification of respiratory sinus arrhythmia during propofol general anesthesia.

Authors:  Zhe Chen; Patrick L Purdon; Eric T Pierce; Grace Harrell; John Walsh; Andres F Salazar; Casie L Tavares; Emery N Brown; Riccardo Barbieri
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009

7.  Assessment of autonomic control and respiratory sinus arrhythmia using point process models of human heart beat dynamics.

Authors:  Zhe Chen; Emery N Brown; Riccardo Barbieri
Journal:  IEEE Trans Biomed Eng       Date:  2009-03-04       Impact factor: 4.538

8.  A Point Process Approach to Assess Dynamic Baroreflex Gain.

Authors:  Z Chen; En Brown; R Barbieri
Journal:  Comput Cardiol       Date:  2008-09-14

9.  nSTAT: open-source neural spike train analysis toolbox for Matlab.

Authors:  I Cajigas; W Q Malik; E N Brown
Journal:  J Neurosci Methods       Date:  2012-09-05       Impact factor: 2.390

10.  A unified point process probabilistic framework to assess heartbeat dynamics and autonomic cardiovascular control.

Authors:  Zhe Chen; Patrick L Purdon; Emery N Brown; Riccardo Barbieri
Journal:  Front Physiol       Date:  2012-02-01       Impact factor: 4.566
  10 in total

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