Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1892280 | Chaos, Solitons & Fractals | 2008 | 7 Pages |
Abstract
We propose a new technique of ECG analysis to characterize the properties of polymorphic ventricular arrhythmias, potentially life-threatening disorders of cardiac activation. The technique is based on extracting two indices from the ECG fragment. The result is a new detailed quantitative description of polymorphic ECGs. Our observations suggest that the proposed ECG processing algorithm provides information that supplements the traditional visual ECG analysis. The estimates of ECG variation in this study reveal some unexpected details of ventricular activation dynamics, which are possibly useful for diagnosing cardiac rhythm disturbances.
Related Topics
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Statistical and Nonlinear Physics
Authors
A.V. Moskalenko, A.V. Rusakov, Yu.E. Elkin,