基于信息理论的房颤心电图分类

J. Nicolet, Juan F. Restrepo, G. Schlotthauer
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引用次数: 0

摘要

复杂分割心房电图(CFAE)的分类对于房颤的研究和治疗策略的制定至关重要,因为这些电生理现象代表了射频消融的共同目标。自2004年对CFAEs进行描述以来,科学界一直致力于将其特征和自动分类考虑到分离程度,这是一种用于消融手术的临床量表。与cfae相关的心内膜部位通常是消融治疗的靶点,尽管它们在心律失常的维持中起作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Classification of atrial electrograms in atrial fibrillation using Information Theory-based measures
Classification of complex fractionated atrial electrograms (CFAE) is crucial for the study of atrial fibrillation and for the development of treatment strategies, because these electrophysiological phenomena represent a common target for radiofrequency ablation. Since the description of CFAEs in 2004, the scientific community have been focused their efforts into its characterization and automatic classification considering the degree of fractionation, a clinical scale used in ablation procedures. Endocardial sites associated to CFAEs are usual targets in ablation therapy, as is though that they play a role in maintenance of the arrhythmia.
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