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

Luca Faes, Daniele Marinazzo, Luca Faes, Alessandro Montalto, Dimitris Kugiumtzis, Giandomenico Nollo

Risultato della ricerca: Otherpeer review

1 Citazioni (Scopus)

Abstract

Information flow 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 of T, 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. © 2013 CCAL.
Lingua originaleEnglish
Pagine747-750
Numero di pagine4
Stato di pubblicazionePublished - 2013

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Cardiology and Cardiovascular Medicine

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