Physiological Signals and Their Fractal Response to Stress Conditions, Environmental Changes and Neurodegenerative Diseases

Abstract

During the last decades nonlinear system theory has been widely applied to the analysis of biomedical time series and given rise to what is known as nonlinear and fractal physiology. Some of 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 show some of our results regarding the fractal dependency on different conditions of physiological signals such as inter-breath intervals, heart inter-beat intervals and human stride intervals.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2006
Accession Number
ADA481678

Entities

People

  • B. J. West
  • N. Scafetta
  • R. E. Moon

Organizations

  • Duke University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Control Systems
  • Diseases And Disorders
  • Information Science
  • Intervals
  • Neurodegeneration
  • Neurodegenerative Diseases
  • Nonlinear Systems
  • Parkinson'S Disease
  • Physics
  • Physiological Phenomena
  • Physiology
  • Power Spectra
  • Probability
  • Probability Distributions
  • Systems Biology

Fields of Study

  • Biology

Readers

  • Exercise and Sports Science.
  • Neurodegenerative Parkinson's Disease and Rickettsial Disease handbook, including the data level of dopamine, BC, neurons, and PD.
  • Systems Analysis and Design

Technology Areas

  • Biotechnology