Poincaré plot interpretation using a physiological model of HRV based on a network of oscillators.

摘要: In this paper, we develop a physiological oscillator model of which the output mimics shape R-R interval Poincare plot. To validate model, simulations various nervous conditions are compared with heart rate variability (HRV) data obtained from subjects under each prescribed condition. For variety sympathovagal balances, our generates plots that undergo alterations strongly resembling those actual intervals. By exploiting basis detail way low- and high-frequency modulation sinus node translates into plot by analytic results. With use establish length width weighted combination power. This provides theoretical link between frequency-domain spectral analysis techniques time-domain analysis. We ascertain degree to these principles apply real intervals testing mathematical relationships on set clearly evident in HRV records.