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Comparing model-free and model-based transfer entropy estimators in cardiovascular variability

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Abstract
Informationflow between heart period (T), systolic pressure (S) and respiration (R) variability in a head-up tilt (HUT) protocol is assessed by transfer entropy (TE). Two estimates of TE are compared: the model-based (MB) approach using linear regression under the Gaussian assumption, and the model-free (MF) approach combining binning estimates of entropy and non-uniform delay embedding. The approaches were applied to 300-beats series ofT, S, R measured in the supine (su) and upright (up) positions during HUT Both MB and MF approaches detected a unidirectional information transfer from R to T and from R to S, and a significant decrease of the TE from R to T, as well as a significant increase of the TE from S to T, moving from su to up. For the MF approach, these trends were supported by the statistical test for TE significance. These results suggest that TE estimated from T, S and R variability can successfully describe the physiological mechanisms involved in the short term cardiovascular and cardiorespiratory regulation during HUT.
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INFORMATION-TRANSFER

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MLA
Montalto, Alessandro et al. “Comparing Model-free and Model-based Transfer Entropy Estimators in Cardiovascular Variability.” Computing in Cardiology Conference. Vol. 40. 2013. 747–750. Print.
APA
Montalto, A., Marinazzo, D., Kugiumtzis, D., Nollo, G., & Faes, L. (2013). Comparing model-free and model-based transfer entropy estimators in cardiovascular variability. Computing in Cardiology Conference (Vol. 40, pp. 747–750). Presented at the 40th Annual Meeting on Computing in Cardiology (CinC).
Chicago author-date
Montalto, Alessandro, Daniele Marinazzo, Dimitris Kugiumtzis, Giandomenico Nollo, and Luca Faes. 2013. “Comparing Model-free and Model-based Transfer Entropy Estimators in Cardiovascular Variability.” In Computing in Cardiology Conference, 40:747–750.
Chicago author-date (all authors)
Montalto, Alessandro, Daniele Marinazzo, Dimitris Kugiumtzis, Giandomenico Nollo, and Luca Faes. 2013. “Comparing Model-free and Model-based Transfer Entropy Estimators in Cardiovascular Variability.” In Computing in Cardiology Conference, 40:747–750.
Vancouver
1.
Montalto A, Marinazzo D, Kugiumtzis D, Nollo G, Faes L. Comparing model-free and model-based transfer entropy estimators in cardiovascular variability. Computing in Cardiology Conference. 2013. p. 747–50.
IEEE
[1]
A. Montalto, D. Marinazzo, D. Kugiumtzis, G. Nollo, and L. Faes, “Comparing model-free and model-based transfer entropy estimators in cardiovascular variability,” in Computing in Cardiology Conference, Zaragoza, SPAIN, 2013, vol. 40, pp. 747–750.
@inproceedings{8100493,
  abstract     = {Informationflow between heart period (T), systolic pressure (S) and respiration (R) variability in a head-up tilt (HUT) protocol is assessed by transfer entropy (TE). Two estimates of TE are compared: the model-based (MB) approach using linear regression under the Gaussian assumption, and the model-free (MF) approach combining binning estimates of entropy and non-uniform delay embedding. The approaches were applied to 300-beats series ofT, S, R measured in the supine (su) and upright (up) positions during HUT Both MB and MF approaches detected a unidirectional information transfer from R to T and from R to S, and a significant decrease of the TE from R to T, as well as a significant increase of the TE from S to T, moving from su to up. For the MF approach, these trends were supported by the statistical test for TE significance. These results suggest that TE estimated from T, S and R variability can successfully describe the physiological mechanisms involved in the short term cardiovascular and cardiorespiratory regulation during HUT.},
  author       = {Montalto, Alessandro and Marinazzo, Daniele and Kugiumtzis, Dimitris and Nollo, Giandomenico and Faes, Luca},
  booktitle    = {Computing in Cardiology Conference},
  isbn         = {978-1-4799-0884-4},
  issn         = {2325-887X},
  keywords     = {INFORMATION-TRANSFER},
  language     = {eng},
  location     = {Zaragoza, SPAIN},
  pages        = {747--750},
  title        = {Comparing model-free and model-based transfer entropy estimators in cardiovascular variability},
  volume       = {40},
  year         = {2013},
}

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