ECG noise thresholding based on moving average

Jun Ueno, Huan-Ke Chiu, C. Lin, Yi-Chun Lin, Li-Ren Huang, C. Gong
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引用次数: 2

Abstract

Noise cancellation is very important step for ECG signal processing. For this problem, there are many methods had been applied. For example, Wavelet based de-noises, EMD based de-noise, Kalman based de-noise, etc. for resource very limited system, the above method may be not fit into the system resource. Algorithm complexity and resource requirement will be the major concern in this work. In this paper, a new processing flow is proposed. it is combined two concepts, one is moving average and another is soft-thresholding. First, we will explain the whole process. Next, the performance will be discussed. And at the last, we will talk about the possible way to improvement the flow.
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基于移动平均的心电噪声阈值分割
噪声消除是心电信号处理的重要步骤。对于这个问题,已经应用了许多方法。例如,对于资源非常有限的系统,基于小波的去噪、基于EMD的去噪、基于卡尔曼的去噪等,上述方法可能不适合系统资源。算法复杂度和资源需求将是这项工作的主要关注点。本文提出了一种新的处理流程。它结合了两个概念,一个是移动平均,另一个是软阈值。首先,我们将解释整个过程。接下来,将讨论性能。最后,我们将讨论改善流动的可能方法。
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