Regensburg 2013 – scientific programme

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DY: Fachverband Dynamik und Statistische Physik

DY 9: Poster I: Statistical Physics in Biological Systems (joint with BP)

DY 9.21: Poster

Monday, March 11, 2013, 17:30–19:30, Poster B2

Inverse statistical analysis in heart rate variability — •Haleh Ebadi — Bioinformatics Group, Department of Computer Science, University of Leipzig, Germany

This poster presents an investigation on heart cycle time series, using the inverse statistical analysis, a concept borrowed from turbulence. By inverse statistics, also sometimes called exit time statistics, we turn the variables around such that the fluctuating variable becomes the fixed variable, while the fixed variable becomes fluctuating. Using this approach, we studied the distribution of the exit time needed to achieve a predefined level of heart rate alteration. Such analysis uncovers the most likely waiting time needed to reach a certain change in the rate of heart beat. This analysis showed a significant difference between the raw data and shuffled data, when the heart rate accelerates or decelerates to a rare event. We also report that inverse statistical analysis can distinguish between the electrocardiograms taken from healthy volunteers and patients with heart failure.