N. Boukhennoufa, K. Benmahammed, M. Abdi, F. Djeffal
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引用次数: 16
摘要
提出了一种基于小波变换的高效心电信号压缩方法。该方法将改进的SPIHT (Set Partitioning In Hierarchical Trees)方法与VKTP (Vector K-Tree Partitioning)编码器相结合。SPIHT方法是基于小波变换的,它非常适合于在较少的系数中定位信号的能量。利用VKTP算法对SPIHT算法生成的比特流进行编码,达到了较高的压缩性能。这种有损压缩/减压技术在心律失常数据库的许多心电图记录上进行了测试。实验结果表明,该方法能够在保持良好信号质量的同时提高压缩比。
Wavelet-based ECG signals compression using SPIHT technique and VKTP coder
In this paper, an efficient Electrocardiogram (ECG) signal compression method based on wavelet transform is presented. The proposed method combines the adapted SPIHT (Set Partitioning In Hierarchical Trees) method with VKTP (Vector K-Tree Partitioning) coder. The SPIHT method is based on the use of wavelet transform which is very well suited to locate the energy of the signal in fewer coefficients. Using the VKTP algorithm, to encode the generated bit stream of SPIHT algorithm, we achieve high compression performances. The tests of this lossy compression/ decompression technique are performed on many ECG records from Arrhythmia Database. The obtained results illustrate the capabilities of the proposed approach to improve the compression ratio while maintaining a good signal quality.