Prompt and accurate diagnosis of ventricular arrhythmias with a novel index based on phase space reconstruction of ECG

Abstract

Aim: to develop a statistical index based on the phase space reconstruction (PSR) of the electrocardiogram (ECG) for the accurate and timely diagnosis of ventricular tachycardia (VT) and ventricular fibrillation (VF).

Methods: thirty-two ECGs with sinus rhythm (SR) and 32 ECGs with VT/VF were analyzed using the PSR technique. Firstly, the method of time delay embedding were employed with the insertion of delay “?” in the original time-series X(t), which produces the Y(t) = X(t ? ?). Afterwards, a PSR diagram was reconstructed by plotting Y(t) against X(t). The method of box counting was applied to analyze the behavior of the PSR trajectories. Measures as mean (?), standard deviation (?) and coefficient of variation (CV = ?/?), kurtosis (?) for the box counting of PSR diagrams were reported.

Results: during SR, CV was always < 0.05, while with the onset of arrhythmia CV increased > 0.05. A similar pattern was observed with ? , where < 6 was considered as the cut-off point between SR and VT/VF. Therefore, the upper threshold for SR was considered CV th = 0.05 and ?th < 6. For optimisation of the accuracy, a new index (J ) was proposed: View the MathML sourceJ=wCVCVth+1?w??th.

During SR the upper limit of J was the value of 1. Furthermore CV, ? and J crossed the cut-off point timely before the onset of arrhythmia (average time: 4 min 31 s; SD: 2 min 30 s); allowing sufficient time for preventive therapy.

Conclusion: the J index improved ECG utility for arrhythmia monitoring and detection utility, allowing the prompt and accurate diagnosis of ventricular arrhythmias.

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