Implicit and explicit model-based signal processing for the analysisof short-term cardiovascular interactions

Alberto Porta, Giuseppe Baselli, Sergio Cerutti

Research output: Contribution to journalArticle

Abstract

The paper stresses the importance of model-based signal processing in the analysis of the cardiovascular regulation mechanisms. It is remarked that even traditional signal processing, implicitly assumes a model and interprets data according to it. Therefore, traditional signal processing is here referred to as implicit model-based signal processing in contrast with explicit model-based signal processing directly stemming from modeling considerations. The paper points out the advantages that can be achieved by rendering explicit the underlying model structure when it is implicit and by jointly applying implicit and explicit model-based signal processing approaches when dealing with complex, interacting, closed-loop biomedical systems. These advantages are rendered practical over several examples derived from the study of the short-term cardiovascular regulation performed by the autonomic nervous system.

Original languageEnglish
Pages (from-to)805-817
Number of pages13
JournalProceedings of the IEEE
Volume94
Issue number4
DOIs
Publication statusPublished - Apr 2006

Keywords

  • Autonomic nervous system
  • Biomedical signal processing
  • Cardiovascular control
  • Cardiovascular variability
  • Physiological modeling

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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