Fractal response of physiological signals to stress conditions, environmental changes, and neurodegenerative diseases: Essays and Commentaries

Authors:
Nicola Scafetta;Richard E. Moon;Bruce J. West
Affiliations:
Nicola Scafetta is with the Department of Physics, the FG Hall Environmental Laboratory, and the Free Electron Laser Laboratory, Duke University, Durham, NC 27708;Richard E. Moon is with the Departments of Anesthesiology and Medicine and the FG Hall Environmental Laboratory, Duke University, Durham, NC 27708;Bruce J. West is with the Department of Physics, Duke University, Durham, NC 27708 and the Mathematics Division of the US Army Research Office, Research Triangle Park, NC 27709
Venue:
Complexity
Year:
2007

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Abstract

In the past two decades the biomedical community has witnessed several applications of nonlinear system theory to the analysis of biomedical time series and the development of nonlinear dynamic models. The development of this area of medicine can best be described as nonlinear and fractal physiology. These studies have been intended to develop more reliable methodologies for understanding how biological systems respond to peculiar altered conditions induced by internal stress, environment stress, and/or disease. Herein, we summarize the theory and some of our results showing the fractal dependency on different conditions of physiological signals such as inter-breath intervals, heart inter-beat intervals, and human stride intervals. © 2007 Wiley Periodicals, Inc. Complexity 12: 12–17, 2007 This paper was submitted as an invited paper resulting from the “Understanding Complex Systems” conference held at the University of Illinois-Urbana Champaign, May 2005.