Prompt and accurate diagnosis of XXXX with a novel index based on phase space reconstruction of ECG.

@entity943 @entity1165 @entity2224
AIM: To develop a statistical index based on the phase space reconstruction (PSR) of the electrocardiogram (ECG) for the accurate and timely diagnosis of @entity1165 ( @entity1165 ) and @entity2224 ( @entity2224 ). METHODS: Thirty-two ECGs with sinus rhythm (SR) and 32 ECGs with @entity1165 / @entity2224 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 (b) for the box counting of PSR diagrams were reported. RESULTS: During SR, CV was always <0.05, while with the onset of @entity943 CV increased >0.05. A similar pattern was observed with b, where <6 was considered as the cut-off point between SR and @entity1165 / @entity2224 . Therefore, the upper threshold for SR was considered CVth=0.05 and bth<6. For optimisation of the accuracy, a new index (J) was proposed: J=wCVCVth+1-wbbth. During SR the upper limit of J was the value of 1. Furthermore CV, b and J crossed the cut-off point timely before the onset of @entity943 (average time: 4min 31s; SD: 2min 30s); allowing sufficient time for preventive therapy. CONCLUSION: The J index improved ECG utility for @entity943 monitoring and detection utility, allowing the prompt and accurate diagnosis of @entity943 .
