Advanced Physiological Monitoring of FCS Soldiers

Abstract

We quantify dynamical change in nonlinear time-serial data via dissimilarity measures between statistical distribution functions. These new measures are superior to traditional nonlinear measures and give robust and timely forewarning of normal-to-abnormal transitions in physiological regimes. These novel measures also provide rapid quantitative assessment of physiological change such as alertness, soldier readiness and bioagent exposure.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2004
Accession Number
ADA432978

Entities

People

  • L. M. Hively
  • V. A. Protopopescu

Organizations

  • Oak Ridge National Laboratory

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Abstracts
  • Artifacts
  • Brain Waves
  • Combat Readiness
  • Computer Programs
  • Computers
  • Data Science
  • Distribution Functions
  • Graphical User Interface
  • Health Services
  • Information Science
  • Materials
  • Materials Science
  • Monitoring
  • Physiological Monitoring
  • Statistical Distributions
  • Statistics

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Robotics and Automation.
  • Theoretical Analysis.