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肺静脉隔离过程中心房颤动体表和心内电图的频率分析。

Frequency analysis of atrial fibrillation surface and intracardiac electrograms during pulmonary vein isolation.

机构信息

Physikalisch-Technische Bundesanstalt, Berlin, Germany.

出版信息

Europace. 2011 Sep;13(9):1340-5. doi: 10.1093/europace/eur104. Epub 2011 Apr 12.

DOI:10.1093/europace/eur104
PMID:21486914
Abstract

AIMS

Frequency analysis of atrial electrograms from patients diagnosed with persistent atrial fibrillation (AF) appears to be crucial in its clinical diagnosis. This work explores the fibrillatory frequency properties of both surface and intracardiac electrograms before and after pulmonary vein isolation (PVI) using three time-frequency techniques.

METHODS AND RESULTS

Surface electrocardiograms (ECGs) of 21 patients diagnosed with persistent AF undergoing PVI were recorded. Three methods, Fourier, ensemble average, and wavelet analysis, were used to identify the dominant frequency (DF) in surface ECGs. Dominant frequency was also computed in electrograms recorded within the coronary sinus (CS). Dominant frequency measured within the CS was best estimated in surface lead V1 using both Fourier (relative error: 10.94 ± 10.37%, correlation: 0.58) and wavelet analysis (relative error: 10.97 ± 11.08%, correlation: 0.53). Ensemble average gave highest relative error (21.29 ± 18.07%) and lowest correlation (0.10). Dominant frequency decreased after right PVI. This decrease was significant (P< 0.05) in most of the patients (13, 14, and 7 out of 14 when Fourier, wavelets, and ensemble average was used; 14 in CS). Further isolation of the left pulmonary veins (PVs) yielded a significant (P< 0.05) decrease in only a few of them (3, 4, and 2 out of 14 when Fourier, wavelets, and ensemble average was used; 4 in CS).

CONCLUSION

Wavelet and Fourier analysis are good tools for estimating the atrial fibrillatory rate from surface ECG. A drop was observed in the DF value after isolation of the right PV. However, after left PVI this decrease was smaller.

摘要

目的

对诊断为持续性心房颤动(AF)的患者的心房电图进行频率分析似乎对其临床诊断至关重要。本研究使用三种时频技术,探讨了肺静脉隔离(PVI)前后体表和心内电图的纤颤频率特性。

方法和结果

记录了 21 例经 PVI 诊断为持续性 AF 的患者的体表心电图(ECG)。使用傅里叶、集合平均和小波分析三种方法来确定体表 ECG 中的主导频率(DF)。还在冠状窦(CS)内记录的电图中计算主导频率。在使用傅里叶(相对误差:10.94±10.37%,相关性:0.58)和小波分析(相对误差:10.97±11.08%,相关性:0.53)时,在体表导联 V1 中,CS 内主导频率的测量值最好用傅里叶表示。集合平均给出了最高的相对误差(21.29±18.07%)和最低的相关性(0.10)。在右 PVI 后,主导频率降低。这种降低在大多数患者中具有统计学意义(P<0.05)(当使用傅里叶、小波和集合平均时,14 例中有 13、14 和 7 例;CS 中有 14 例)。进一步隔离左肺静脉(PV)仅导致少数患者的主导频率明显降低(当使用傅里叶、小波和集合平均时,14 例中有 3、4 和 2 例;CS 中有 4 例)。

结论

小波和傅里叶分析是从体表 ECG 估计心房颤动率的良好工具。在隔离右 PV 后,DF 值观察到下降。然而,在左 PVI 后,这种下降较小。

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