A Wavelet-Packet Method for the Identification of Ventilator Influence on Heart Rate Variability

Abstract

We studied the respiratory related modifications of RR interval (RRI) variability in post-operative, artificially ventilated patients during their recovery from anesthesia after cardiac surgery. An ARX model was used to exploit the relationships between RRI and respiration in sub-bands signals obtained through Wavelets packets decomposition. We found that the recovery from anesthesia is accompanied by progressive reduction of the influence of ventilation on RR variability and by the reappearance of physiological modulations of the sinus node activity.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA412049

Entities

People

  • I. Korhonen
  • L. T. Mainardi
  • S. Bonacina
  • S. Cerutti

Organizations

  • Polytechnic University of Milan

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Anesthesia
  • Biomedical Engineering
  • Cardiac Arrhythmias
  • Cardiovascular Surgery
  • Decomposition
  • Engineering
  • Filtration
  • Frequency
  • Heart Rate
  • Identification
  • Information Systems
  • Power Spectra
  • Recovery
  • Respiration
  • Sedation
  • Signal Processing
  • Ventilation

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Mathematics or Statistics
  • Trauma or Military Medicine