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Proceedings Paper

Assessment of anxiety using heart rate nonlinear dynamics
Author(s): Julian F. Thayer; Bruce H. Friedman
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Paper Abstract

Various anxiety states have been linked with disorders of the autonomic nervous system. These autonomic disorders may be revealed by analysis of physiological time series such as the heart rate interbeat interval series. The present paper reports a general model of biological system functioning and related assessment indices based on recent nonlinear dynamical systems approaches. In particular, two experimental studies are reported which suggest the utility of heart rate nonlinear dynamics in the assessment of anxiety.

Paper Details

Date Published: 5 November 1993
PDF: 7 pages
Proc. SPIE 2036, Chaos in Biology and Medicine, (5 November 1993); doi: 10.1117/12.162730
Show Author Affiliations
Julian F. Thayer, Univ. of Missouri/Columbia and Univ. of Pittsburgh (United States)
Bruce H. Friedman, Univ. of Missouri/Columbia and Univ. of Pittsburgh (United States)


Published in SPIE Proceedings Vol. 2036:
Chaos in Biology and Medicine
William L. Ditto, Editor(s)

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