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Representation of a Physio-psychological Index Through Constellation Graphs

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Advances in Natural Computation (ICNC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3610))

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Abstract

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.

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References

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Author information

Authors and Affiliations

  1. Department of Integrated Psychological Science, Kwansei Gakuin University, 1-1-155, Ichibancho, Uegahara, Nishinomiya-City, 662-8501, Japan

    Oyama-Higa Mayumi

  2. Chaos Technical Research Laboratory and CCI Corporation, 3-1-2401, Ryodocho, Nishinomiya-City, 662-0841, Japan

    Tiejun Miao

Authors
  1. Oyama-Higa Mayumi
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  2. Tiejun Miao
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Editor information

Editors and Affiliations

  1. School of Electrical and Electronic Engineering, Nanyang Technological University, Block S1, Nanyang Avenue, 639798, Singapore

    Lipo Wang

  2. School of Software, Sun Yat-Sen University, 510275, Guangzhou, China

    Ke Chen

  3. School of Computer Engineering, Nanyang Technological University, BLK N4, 2b-39, Nanyang Avenue, 639798, Singapore

    Yew Soon Ong

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© 2005 Springer-Verlag Berlin Heidelberg

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Mayumi, OH., Miao, T. (2005). Representation of a Physio-psychological Index Through Constellation Graphs. In: Wang, L., Chen, K., Ong, Y.S. (eds) Advances in Natural Computation. ICNC 2005. Lecture Notes in Computer Science, vol 3610. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539087_109

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  • DOI: https://doi.org/10.1007/11539087_109

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28323-2

  • Online ISBN: 978-3-540-31853-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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