A novel entropy measure for analysis of the electrocardiogram

Woodcock, Dan (2007). A novel entropy measure for analysis of the electrocardiogram. PHD thesis, Aston University.

Abstract

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.

Divisions: Engineering & Applied Sciences > Computer Science
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Institution: Aston University
Uncontrolled Keywords: P-wave,kernel entropy,chaos,time series,regularity,complexity,nonlinear dynamics
Completed Date: 2007-02
Authors: Woodcock, Dan

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