Quantifying fractal dynamics of human respiration: age and gender effects

• Published in: Annals of biomedical engineering Vol. 30; no. 5; pp. 683 - 692
• Main Authors: Peng, C K, Mietus, Joseph E, Liu, Yanhui, Lee, Christine, Hausdorff, Jeffrey M, Stanley, H Eugene, Goldberger, Ary L, Lipsitz, Lewis A
• Format: Journal Article
• Language: English
• Published: United States Springer Nature B.V 01-05-2002
• Subjects: Adult; Age Factors; Aged; Aged, 80 and over; Aging; Algorithms; Cardiovascular system; Chaos theory; Computer program listings; Degradation; Electrocardiography; Emotions - physiology; Female; Females; Fractals; Humans; Lung Volume Measurements - methods; Male; Models, Biological; Models, Statistical; Nonlinear Dynamics; Older people; Respiration; Respiratory Mechanics - physiology; Sex Factors; Signal Processing, Computer-Assisted; Statistics as Topic; Studies; Time series; Time series analysis; Non-programmatic
• ISSN: 0090-6964; 1573-9686
• DOI: 10.1114/1.1481053

We sought to quantify the fractal scaling properties of human respiratory dynamics and determine whether they are altered with healthy aging and gender. Continuous respiratory datasets (obtained by inductive plethysmography) were collected from 40 healthy adults (10 young men, 10 young women, 10 elderly men, and 10 elderly women) during 120 min of spontaneous breathing. The interbreath interval (IBI) time series were extracted by a new algorithm and fractal scaling exponents that quantify power-law correlations were computed using detrended fluctuation analysis. Under supine, resting, and spontaneous breathing conditions, both healthy young and elderly subjects had scaling exponents for the IBI time series that indicate long-range (fractal) correlations across multiple time scales. Furthermore, the scaling exponents (mean +/- SD) for the IBI time series were significantly (p < 0.03) lower (indicating decreased correlations) in the healthy elderly male (0.60 +/- 0.08) compared to the young male (0.68 +/- 0.07), young female (0.70 +/- 0.07), and elderly female (0.67 +/- 0.06) subjects. These results provide evidence for fractal organization in physiologic human breathing cycle dynamics, and for their degradation in elderly men. These findings may have implications for modeling integrated respiratory control mechanisms, quantifying their changes in aging or disease, and assessing the outcome of interventions aimed toward restoring normal physiologic respiratory dynamics.