分离心房和心室成分心房颤动。64条线索比12条好吗?

A. J. Haigh, A. Murray, P. Langley
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引用次数: 4

摘要

重要的是能够将心房活动与体表心电图信号的主要心室活动分离开来,以便充分评估药物心律转复和消融等治疗的效果。主成分分析(PCA)和独立成分分析(ICA)是可以使用的算法,但它们的应用仅限于标准的12导联心电记录。我们的目的是研究是否可以使用额外的导联更好地分离心房和心室活动。我们对5例房颤患者的12根导联和64根导联进行了PCA和ICA分析。我们测量并比较了12导联和64导联分析在分离心房活动和主要颤动频率中剩余心室QRS的幅度。我们发现12导联和64导联在分离心房和心室活动方面差别不大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Separating the atrial and ventricular components in atrial fibrillation. Are 64 leads better than 12?
It is important to be able to separate the atrial activity from the dominant ventricular activity of the body surface ECG signals in atrial fibrillation so that the effect of therapies such as drug cardioversion and ablation can be adequately assessed. Principal Component Analysis (PCA) and Independent Component Analysis (ICA) are algorithms which can be used but their application has been limited to standard 12-lead ECG recordings. Our aim was to investigate whether better separation of the atrial and ventricular activities could be achieved using additional leads. We applied PCA and ICA to ECG recordings of 12 and 64 leads in 5 patients in atrial fibrillation. We measured and compared between the 12 lead and 64 lead analyses the amplitude of residual ventricular QRS which remained in the separated atrial activity and the dominant fibrillatory frequency. We found that there was little difference between 12 and 64 leads in separating the atrial and ventricular activity.
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