Representation of a Physio-psychological Index Through Constellation Graphs

• Published in: Advances in Natural Computation pp. 811 - 817
• Main Authors: Mayumi, Oyama-Higa, Miao, Tiejun
• Format: Book Chapter Conference Proceeding
• Language: English
• Published: Berlin, Heidelberg Springer Berlin Heidelberg 2005; Springer
• Series: Lecture 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

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...