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The electrical activity of the heart shows complex dynamical behavior. This paper presents a nonlinear local projective noise reduction filter for electrocardiograms. In order to automatically detect the best neighborhood size of the projection, recurrence plots are used. The minimum gives a clear indication of the best size of the neighborhood in the embedding space. We also use the box-assisted algorithm to efficiently find nearest neighbors in m-dimensional space. The method is successfully applied to ECG signals. © 2008 IEEE.
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年份: 2008
页码: 2195-2198
语种: 英文
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