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首页> 外文期刊>Biomedical Engineering: Applications, Basis and Communications >METHODS TO QUANTITATE ATRIAL ELECTRICAL ACTIVITY USING ELECTROGRAMS ACQUIRED DURING ATRIAL FIBRILLATION
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METHODS TO QUANTITATE ATRIAL ELECTRICAL ACTIVITY USING ELECTROGRAMS ACQUIRED DURING ATRIAL FIBRILLATION

机译：利用心房纤颤过程中获得的电子图定量心房电活动的方法

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摘要

Herein, commonly used quantitative bioengineering methods that have been developed to analyze fractionated electrograms recorded from the surface of the atria during atrial fibrillation (AF) are described. Techniques were categorized as time-domain and frequency-domain methods. The main time-domain method is peak counting. Its variations based on preprocessing and thresholding are discussed. The main frequency-domain method is spectral analysis. Two spectral estimators, the discrete Fourier transform (DFT) and the new spectral estimator (NSE) are described. The ability of each estimator to detect the main periodic component of fractionated atrial electrograms is compared. Several spectral parameters that are used for analysis of atrial electrograms including the dominant frequency (DF), dominant amplitude (DA) and mean spectral profile (MP) are defined. Mean values of these parameters are compared in paroxysmal versus persistent AF fractionated electrograms based upon the results of several studies. Time-domain methods are shown to work best for analysis with deterministic, not fractionated atrial electrograms. For fractionated atrial electrograms, frequency-domain methods are often used. The DF, DA and MP spectral parameters are significantly different in paroxysmal versus longstanding persistent AF recordings. The DF and the DA are significantly higher, and the MP is significantly lower, in persistent AF electrogram recordings. The higher DF and DA parameter values reflect substrate remodeling in persistent AF, which increases the stability of the electrical activation pattern. The lower MP value in persistent AF reflects the lower spectral noise floor, indicative of a less complex and more periodic pattern of electrical activity.
机译：在此，描述了开发用于分析在心房纤颤（AF）期间从心房表面记录的分级电描记图的常用定量生物工程方法。技术分为时域方法和频域方法。主要的时域方法是峰值计数。讨论了其基于预处理和阈值的变化。主要的频域方法是频谱分析。描述了两个频谱估计器，即离散傅里叶变换（DFT）和新频谱估计器（NSE）。比较每个估计器检测分级心电图主要周期分量的能力。定义了用于分析心电图的几个频谱参数，包括主频（DF），主振幅（DA）和平均频谱轮廓（MP）。根据几项研究的结果，将这些参数的平均值在阵发性和持续性AF分级电描记图中进行比较。结果表明，时域方法最适合使用确定性而非分级心电图进行分析。对于分级心电图，通常使用频域方法。阵发性与长期持续性AF记录的DF，DA和MP光谱参数显着不同。在持续的AF电描记图记录中，DF和DA显着较高，而MP则显着较低。较高的DF和DA参数值反映了持久性AF中的基材重塑，从而增加了电激活图案的稳定性。持续性AF中的MP值较低，反映出较低的频谱噪声本底，表明电活动的复杂性和周期性较低。

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