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Methods for ECG signal compression with reconstruction via cubic spline approximation

机译:通过三次样条逼近重建的ECG信号压缩方法

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In this article, two algorithms are described that are suited for real-time biomedical signal compression. These being, Amplitude Threshold compression and SQ segment compression. Comparison of these methods with well known methods such as lossy Discrete Cosine Transform (DCT) and lossless Turning Point (TP) is shown. The compression method outputs were reconstructed using a cubic spline approximation and compared. The values of compression ratio (CR), percent mean square difference (PRD) and area criteria were chosen for method comparison. Here it is shown that the method presented here (Threshold, SQ segment) provide considerably lower CR values than the DCT method and slightly higher CR values than the TP method. However, the PRD value for both proposed methods is lower than the PRD values of reference methods DCT and TP.
机译:在本文中,描述了两种适用于实时生物医学信号压缩的算法。它们是幅度阈值压缩和SQ段压缩。显示了这些方法与众所周知的方法(例如有损离散余弦变换(DCT)和无损转折点(TP))的比较。使用三次样条近似法重建压缩方法的输出并进行比较。选择压缩比(CR),均方差百分比(PRD)和面积标准的值进行方法比较。此处显示,此处介绍的方法(阈值,SQ段)提供的CR值比DCT方法低得多,而CR值则比TP方法高一些。但是,两种建议方法的PRD值都低于参考方法DCT和TP的PRD值。

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