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Denoise of ECG Based on Weighted Sum of Intrinsic Mode Functions

机译:基于内在模式函数的加权之和的ECG的去噪

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Denoise of ECG using weighted sum of intrinsic mode functions (IMFs) with weights determined by the distance metric between each IMF and the noise is proposed in this paper. Traditionally, approaches of the like are achieved by subtracting some IMFs directly from the noisy ECG. However, the determination of IMFs as the subtrahends to the noisy ECG is subject to trial and error. The new approach avoids the problem of trial and error and hence is much easier to apply. Several methods for computing the distance metrics are compared in this paper. Computer simulation results show that the method performs well compared to the ones by directly subtracting some IMFs from the noisy ECG.
机译:通过在本文中提出了由每个IMF之间的距离度量确定的权重和由每个IMF之间的距离度量决定的重量的Senoise。传统上,通过直接从嘈杂的心电图中减去一些IMF来实现类似物的方法。但是,根据对嘈杂的心电图的子系统的确定,IMFS的确定受试验和错误。新方法避免了试验和错误的问题,因此申请更容易。在本文中比较了几种计算距离度量的方法。计算机仿真结果表明,通过直接从嘈杂的心电图直接减去一些IMF,该方法比较良好。

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