基于三次样条近似重构的心电信号压缩方法

Olga Malgina, E. Plesnik, A. Košir, J. Milenkovic, M. Zajc, J. Tasic
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引用次数: 4

摘要

本文介绍了两种适合于实时生物医学信号压缩的算法。它们分别是振幅阈值压缩和SQ段压缩。将这些方法与已知的有损离散余弦变换(DCT)和无损拐点变换(TP)等方法进行了比较。采用三次样条近似重构压缩法输出,并进行了比较。选择压缩比(CR)、均方差百分比(PRD)和面积标准值进行方法比较。这里显示,这里提出的方法(阈值,SQ段)提供显著低于DCT方法的CR值,略高于TP方法的CR值。然而,两种方法的PRD值均低于参考方法DCT和TP的PRD值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Methods for ECG signal compression with reconstruction via cubic spline approximation
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.
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