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The proposed wavelet-based ECG signal compression method combining SPIHT and VKTP coder improved the compression ratio while maintaining good signal quality on records from the Arrhythmia Database.
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The combination of SPIHT and VKTP algorithms provides an efficient method for ECG signal compression with high compression ratios and good signal quality.
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.
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Boukhennoufa et al. (2009) studied Arrhythmia (ECG records). Wavelet-based ECG signal compression combining adapted SPIHT method with VKTP coder was evaluated on Compression ratio and signal quality. The proposed wavelet-based ECG signal compression method combining SPIHT and VKTP coder improved the compression ratio while maintaining good signal quality on records from the Arrhythmia Database.
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