Linear and nonlinear approaches to the analysis of R-R interval variability.

Autumn Schumacher

Research output: Contribution to journalReview article

35 Citations (Scopus)

Abstract

Analysis techniques derived from linear and non-linear dynamics systems theory qualify and quantify physiological signal variability. Both clinicians and researchers use physiological signals in their scopes of practice. The clinician monitors patients with signal-analysis technology, and the researcher analyzes physiological data with signal-analysis techniques. Understanding the theoretical basis for analyzing physiological signals within one's scope of practice ensures proper interpretation of the relationship between physiolgical function and signal variability. This article explains the concepts of linear and nonlinear signal analysis and illustrates these concepts with descriptions of power spectrum analysis and recurrence quantification analysis. This article also briefly describes the relevance of these 2 techniques to R-to-R wave interval (i.e., heart rate variability) signal analysis and demonstrates their application to R-to-R wave interval data obtained from an isolated rat heart model.

Original languageEnglish (US)
Pages (from-to)211-221
Number of pages11
JournalBiological Research for Nursing
Volume5
Issue number3
DOIs
StatePublished - Jan 1 2004

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Research Personnel
Systems Theory
Nonlinear Dynamics
Spectrum Analysis
Heart Rate
Technology
Recurrence

ASJC Scopus subject areas

  • Research and Theory

Cite this

Linear and nonlinear approaches to the analysis of R-R interval variability. / Schumacher, Autumn.

In: Biological Research for Nursing, Vol. 5, No. 3, 01.01.2004, p. 211-221.

Research output: Contribution to journalReview article

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