Application of Wavelet Entropy to predict atrial fibrillation progression from the surface ECG.
Application of Wavelet Entropy to predict atrial fibrillation progression from the surface ECG.
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DOI：
10.1155/2012/245213
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发表时间：
2012
影响因子：
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通讯作者：
Rieta JJ
中科院分区：
文献类型：
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作者：
Alcaraz R;Rieta JJ
房颤是临床上最常见的室上性心律失常，是医学和工程领域研究的热点。小波熵（WE）是对特定现象在时间和频率域的无序程度的度量，允许揭示其他方法看不到的潜在动态过程。目前的工作介绍了两种不同的WE应用于房颤患者的心电图（ECG）。第一种应用预测阵发性房颤（PAF）的自发终止，而第二种应用处理持续性房颤患者的电转复（ECV）结果。在这两种应用中，WE用于评估心房纤颤(f)波组织的目的。f波的结构变化反映了心房活动组织的变化，这一事实可用于预测房颤的进展。在这方面，预测PAF终止的敏感性、特异性和准确性分别为95.38%、91.67%和93.60%。另一方面，预测ECV预后的敏感性为85.24%，特异性为81.82%，准确性为84.05%。这些结果使WE成为自发性PAF终止和ECV结果的最高单一预测因子，因此是表征非侵入性房颤信号的有前途的工具。
Atrial fibrillation (AF) is the most common supraventricular arrhythmia in clinical practice, thus, being the subject of intensive research both in medicine and engineering. Wavelet Entropy (WE) is a measure of the disorder degree of a specific phenomena in both time and frequency domains, allowing to reveal underlying dynamical processes out of sight for other methods. The present work introduces two different WE applications to the electrocardiogram (ECG) of patients in AF. The first application predicts the spontaneous termination of paroxysmal AF (PAF), whereas the second one deals with the electrical cardioversion (ECV) outcome in persistent AF patients. In both applications, WE was used with the objective of assessing the atrial fibrillatory (f) waves organization. Structural changes into the f waves reflect the atrial activity organization variation, and this fact can be used to predict AF progression. To this respect, results in the prediction of PAF termination regarding sensitivity, specificity, and accuracy were 95.38%, 91.67%, and 93.60%, respectively. On the other hand, for ECV outcome prediction, 85.24% sensitivity, 81.82% specificity, and 84.05% accuracy were obtained. These results turn WE as the highest single predictor of spontaneous PAF termination and ECV outcome, thus being a promising tool to characterize non-invasive AF signals.