A novel entropy measure for analysis of the electrocardiogram

  • Dan Woodcock

    Student thesis: Doctoral ThesisDoctor of Philosophy


    There has been much recent research into extracting useful diagnostic features from the electrocardiogram with numerous studies claiming impressive results. However, the robustness and consistency of the methods employed in these studies is rarely, if ever, mentioned. Hence, we propose two new methods; a biologically motivated time series derived from consecutive P-wave durations, and a mathematically motivated regularity measure. We investigate the robustness of these two methods when compared with current corresponding methods. We find that the new time series performs admirably as a compliment to the current method and the new regularity measure consistently outperforms the current measure in numerous tests on real and synthetic data.
    Date of AwardFeb 2007
    Original languageEnglish
    SupervisorIan T. Nabney (Supervisor)


    • P-wave
    • kernel entropy
    • chaos
    • time series
    • regularity
    • complexity
    • nonlinear dynamics

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