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Orthogonal Basis Expansion based Atrial Activity Reconstruction for Atrial Fibrillation Electrocardiogram Analysis

机译:心房颤动心电图分析的正交基于膨胀性心房活动重建

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We propose a novel algorithm for extracting atrial activity from single lead electrocardiogram (ECG) signal sustained with atrial fibrillation (AF), based on a short-time expansion of an orthogonal basis function set. The method preserves the time variation of spectral content of the underlying AF signal, thus time-frequency analysis of the AF signal can be successfully performed. The new method is compared to the standard average beat subtraction (ABS) method using synthetic AF sustained ECG data. The orthogonal basis expansion method has a higher correlation with the original AF signal compared to the ABS method for a range of signal to noise ratio (SNR) levels, and correlation is improved by 16% at an SNR of 0dB. Time-frequency analysis of the reconstructed AF signal based on Bessel distribution also shows the superiority of the orthogonal basis expansion method over ABS.
机译:我们提出了一种基于正交基函数集的短时间膨胀,提出了一种从心房颤动(AF)持续的单引线心电图(ECG)信号中提取心房活动的新算法。该方法保留底层AF信号的频谱内容的时间变化,因此可以成功执行AF信号的时频分析。将新方法与使用合成AF持续的ECG数据的标准平均节拍减法(ABS)方法进行比较。与噪声比(SNR)水平范围(SNR)水平的ABS方法相比,与ABS方法相比,与原始AF信号相比具有较高的相关性,并且在0dB的SNR处的相关性得到了16%的相关性。基于贝塞尔分布的重建AF信号的时频分析还显示出在ABS上的正交基础扩展方法的优越性。

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