Influence of Progressive Central Hypovolemia on Multifractal Dimension of Cardiac Interbeat Intervals

Abstract

We analyzed the heartbeat time series of 12 human subjects exposed to progressive central hypovolemia with lower body negative pressure. Two data processing techniques based on wavelet transforms were used to determine the change in the non-stationary nature of the time series with changing negative pressure. Our results suggest that autonomic neural mechanisms driving cardiac interbeat intervals during central hypovolemia go through various levels of multifractility.

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Document Details

Document Type
Technical Report
Publication Date
May 07, 2010
Accession Number
ADA522321

Entities

People

  • Bruce J. West
  • Nicola Scafetta
  • Rita Balocchi
  • William H. Cooke

Organizations

  • Duke University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Biological Sciences
  • Complex Systems
  • Computers
  • Data Sets
  • Frequency
  • Heart Rate
  • Hypovolemia
  • Information Theory
  • Intervals
  • Military Research
  • Physiology
  • Power Spectra
  • Probability
  • Respiration
  • Signal Processing
  • Stress (Physiology)
  • Wavelet Transforms

Readers

  • Approximation Theory.
  • Cardiovascular Physiology