基于离散余弦变换(DCT)和拉普拉斯金字塔(LP)的质量控制心电压缩

2009 International Multimedia, Signal Processing and Communication Technologies Pub Date : 2009-03-14 DOI:10.1109/MSPCT.2009.5164162

V. Aggarwal, M. Patterh

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引用次数: 25

摘要

介绍了一种新的基于质量控制的离散余弦变换和拉普拉斯金字塔的心电信号压缩方法。利用DCT和拉普拉斯金字塔对心电信号进行变换。转换后的系数使用对分算法进行阈值化，以便在公差范围内匹配预定义的用户指定的百分比均方根差(PRD)。然后，创建二进制查找表来存储零系数和非零系数(NZC)的位置映射。NZC采用Max-Lloyd量化器进行量化，然后进行算术编码。查找表采用霍夫曼编码进行编码。在不同特征的心电信号上给出了实验结果。结果表明，DCT在低PRD条件下具有较好的性能。结果表明，与DCT相比，Laplacian Pyramid在正常节律(MIT-BIH 117)上提供了优于2.5 PRD值的CR，而在异常节律(MIT-BIH 232)上则相反。

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Quality controlled ECG compression using Discrete Cosine transform (DCT) and Laplacian Pyramid (LP)

This paper introduces a new quality controlled Discrete Cosine transform (DCT) and Laplacian Pyramid based compression method for electrocardiogram (ECG) signal. The ECG signal is transformed using DCT and Laplacian Pyramid. The transformed coefficients are thresholded using the bisection algorithm in order to match the predefined user specified percentage root mean square difference (PRD) within the tolerance. Then, the binary lookup table is made to store the position map for zero and non-zero coefficients (NZC). The NZC are quantized by Max-Lloyd quantizer followed by Arithmetic coding. Lookup table is encoded by Huffman coding. The results are presented on different ECG signals of varying characteristic. The results show that DCT gives better performance at low PRD. The results show that Laplacian Pyramid provides better CR over 2.5 PRD value on the normal rhythm (MIT-BIH 117) as compared to DCT, whereas on abnormal rhythm (MIT-BIH 232) the behavior of the transforms is opposite.

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2009 International Multimedia, Signal Processing and Communication Technologies

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