THE PROBLEM OF MEASUREMENT DATA COMPLEXITY, FOR EXAMPLE OF THE GENERAL MODEL OF THE CENTRAL RESPIRATORY GENERATOR AND RECURRENT PLOTS ANALYSIS
Journal Title: Metrology and Measurement Systems - Year 2008, Vol 15, Issue 4
Abstract
The purpose of this modeling paper is to show and, in some extent, to explore the utility of one nonlinear tool, the recurrence plot, in assessing physiological systems and states, for example of the respiratory system. During investigations, the authors first explore the question of interrelations between regular and disordered processes, implying remarkable influences of noise on rhythmicity of the physiological systems, here: the respiratory system. Next, the signals acquired in the Bonhoeffer-van der Pol model of the central respiratory generator are the basis for data analysis; accordingly to Paydarfar et al., computational studies of the equations (1), whose qualitative behaviour is representative of many excitable system, are able to show phase responses adequate to experimental findings in the animal, in the context of phase resetting of the central respiratory oscillator. The applied topological (qualitative) description and its quantitative measures of complexity document the important sensitivity to temporal variations of the data set compositions.
Authors and Affiliations
IRENEUSZ JABŁOŃSKI, JANUSZ MROCZKA
Keywords
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