Quantifying fractal dynamics of human respiration: Age and gender effects

C. K. Peng, Joseph E. Mietus, Yanhui Liu, Christine Lee, Jeffrey M. Hausdorff, H. Eugene Stanley, Ary L. Goldberger*, Lewis A. Lipsitz

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

238 Scopus citations

Abstract

Fractal scaling properties of human respiratory dynamics were quantified and the effects of gender and physiological aging on these factors were determined. Continuous respiratory datasets were collected from 40 healthy adults during 120 min of spontaneous breathing. The interbreath interval time series were extracted by an algorithm and fractal scaling exponents that quantify power-law correlations, were computed using detrended fluctuation analysis. Results indicated evidence for fractal organization in physiologic human breathing cycle dynamics, and for their degradation in elderly men.

Original languageEnglish
Pages (from-to)683-692
Number of pages10
JournalAnnals of Biomedical Engineering
Volume30
Issue number5
DOIs
StatePublished - 2002
Externally publishedYes

Funding

FundersFunder number
OAICAG08812
National Institute of Mental HealthMH54031
Centers for Disease Control and Prevention
National Institute on AgingR01AG014420, AG04390
National Center for Research ResourcesRR13622
G. Harold and Leila Y. Mathers Charitable Foundation

    Keywords

    • Aging
    • Chaos theory
    • Long-range correlations
    • Respiration
    • Ventilation

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