A quasi-periodic two-component dynamical model for cardio-signal synthesis using time-series and the fourth-order Runge–Kutta method

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In the article, a quasi-periodic two-component dynamical model with possibility of defining the cardio-cycle morphology, that provides the model with an ability of generating a temporal and a spectral cardiosignal characteristics, including heart rate variability is described. A technique for determining the cardio-cycle morphology to provide realistic cardio-signal form is defined. A method for defining cardio-signal dynamical system by the way of determining a three-dimensional state space and equations which describe a trajectory of point’s motion in this space is presented. A technique for solving equations of motion in the three-dimensional state space of dynamical cardio-signal system using the fourth-order Runge–Kutta method is presented. Based on this model, algorithm and software package are developed. Using software package, a cardio-signal synthesis experiment is conducted and the relationship of cardio-signal diagnostic features is analyzed.

Keywords: cardio-signal synthesis, quasi-periodic dynamical model, algorithm, three-dimensional state space, cardio-cycle morphology, heart rate variability, time-series, the fourth-order Runge–Kutta method
Citation in English: Kazakov D.V. A quasi-periodic two-component dynamical model for cardio-signal synthesis using time-series and the fourth-order Runge–Kutta method // Computer Research and Modeling, 2012, vol. 4, no. 1, pp. 143-154
Citation in English: Kazakov D.V. A quasi-periodic two-component dynamical model for cardio-signal synthesis using time-series and the fourth-order Runge–Kutta method // Computer Research and Modeling, 2012, vol. 4, no. 1, pp. 143-154
DOI: 10.20537/2076-7633-2012-4-1-143-154
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