Representation of a Physio-psychological Index Through Constellation Graphs

Chaos theory was applied to analysis of the time series of plethysmograms under various human physio-psychological conditions. It found that the largest Lyapunov exponent could be used to characterize physio-psychological status. A visual representation method based on constellation graphs was devel...

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Bibliographic Details
Published inAdvances in Natural Computation pp. 811 - 817
Main Authors Mayumi, Oyama-Higa, Miao, Tiejun
Format Book Chapter Conference Proceeding
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg 2005
Springer
SeriesLecture Notes in Computer Science
Subjects
Applied sciences
Artificial intelligence
Chaos Theory
Communication Skill
Computer science; control theory; systems
Exact sciences and technology
Large Lyapunov Exponent
Lyapunov Exponent
Reconstructed Phase Space
Chaos
Graph method
Time analysis
Lyapunov exponent
Indexing
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Summary:Chaos theory was applied to analysis of the time series of plethysmograms under various human physio-psychological conditions. It found that the largest Lyapunov exponent could be used to characterize physio-psychological status. A visual representation method based on constellation graphs was developed to indexing temporal changes in the largest Lyapunov exponent. Changes of constellation angles were found to clearly characterizing variations of physio-psychological status in a series of experiments.
ISBN:3540283234
9783540283232
ISSN:0302-9743
1611-3349
DOI:10.1007/11539087_109