• Posted by | September 8, 2025

    HRV Analysis for Peak Athletic Performance: DFA vs LF/HF

    Heart rate variability (HRV) is a powerful window into the autonomic nervous system, helping athletes and coaches peek into the balance between the calming parasympathetic and the activating sympathetic drives. Advanced techniques like detrended fluctuation analysis (DFA) of HRV are bringing fractal and non-linear dynamics into the mix, offering a deeper understanding of how our nervous system regulates exercise intensity and responds to training stress.

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  • Posted by | October 1, 2023

    How to Measure Heart Rate Variability (HRV) using Fractals

    fractal vs complex DFA chart

    Heart rate variability is one of the most important health markers. However, most fitness trackers are not yielding the full picture.

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  • Posted by | April 7, 2022

    Healthcare Data: Medical Transcriptions Analysis

    How to understand the symptoms and treatments better. Medical records analysis using text network visualization.

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  • Posted by | July 11, 2012

    Barabasi on Network Theory in Biology

    Albert-Laszlo Barabasi talks about the way network theory can be used to fight disease and to advance our research in biology. Slightly slow-paced, but nevertheless a good introduction into applied network theory from one of the world’s most renowned physicist with stunning visuals.

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  • Posted by | April 9, 2012

    What Makes a Network Robust?

    A very interesting paper by Kitano “Biological Robustness” (published in 2004 in Nature Genetics journal) offers a very insightful summary on what biological robustness is and how it emerges in networks. Kitano demonstrates how small-world architecture and the existence of an interconnected core control center both increase the robustness of a system.

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