![]() Sensory data acquired over a long period of time. To provide a finer characterisation of behavioural patterns observed using Indicates a possibility to use these measures in place of fractional dimensions The correlation isĭemonstrated using two healthy subjects compared against a control group. ![]() Measures is shown to correlate with complexity analysis. The results using compound measures of behavioural patterns ofįifteen healthy individuals are presented. Rate, skin blood perfusion, blood oxygenation, skin temperature, movement and Obtained using body attached sensors providing non-invasive readings of heart These measures provide clinically applicable complexityĪnalysis of behavioural patterns yielding scalar characterisation of time-varyingīehaviours registered over an extended period of time. The author, a giant of twentieth-century mathematics, applies the principles of information theory to a variety of issues, including Maxwells demon, thermodynamics. ![]() ![]() Of behavioural entropy and hysteresis is introduced as two different forms ofĬompound measures. x 0.9in.A classic source for exploring the connections between information theory and physics, this text is geared toward upper-level undergraduates and graduate students. Self-similar time series representing behavioural data are presented. Providing compound complexity analysis and indexing of coarse-grained The Compound Indexing of Human Self-Similar Behavioural PatternsĪUTHORS: Petr Kloucek, Pavel Zakharov, Armin von Guntenīehavioural Complexity, Physiological and Behavioural Surrogate Data, Behavioural Entropy, Behavioural Hysteresis, Seld-Similar Normally Distributed Precesses, Non-Integer Hausdorff-Besicovitch Dimension, Hurst ExponentĪBSTRACT: Applications of a constitutive framework
0 Comments
Leave a Reply. |