Skip to main content
SpringerLink
Log in

A compression algorithm for ECG based on integer lifting scheme wavelet transform

  • Published:
Journal of Electronics (China)

Abstract

In view of the shortcomes of conventional ElectroCardioGram (ECG) compression algorithms, such as high complexity of operation and distortion of reconstructed signal, a new ECG compression encoding algorithm based on Set Partitioning In Hierarchical Trees (SPIHT) is brought out after studying the integer lifting scheme wavelet transform in detail. The proposed algorithm modifies zero-tree structure of SPIHT, establishes single dimensional wavelet coefficient tree of ECG signals and enhances the efficiency of SPIHT-encoding by distributing bits rationally, improving zero-tree set and ameliorating classifying method. For this improved algorithm, floating-point computation and storage are left out of consideration and it is easy to be implemented by hardware and software. Experimental results prove that the new algorithm has admirable features of low complexity, high speed and good performance in signal reconstruction. High compression ratio is obtained with high signal fidelity as well.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Zhao An, Wu Baoming. New progress in ECG data compression technique. Biomedical Engineering Foreign Medical Science, 28(2005)2, 89–93 (in Chinese). 赵安, 吴宝明. 心电数据压缩技术的新进展. 国外医学生物医学工程分册, 28(2005)2, 89–93.

    Google Scholar 

  2. W. Sweldens. The lifting scheme: A custom-design construction of bi-orthogonal wavelets. Appl. Comput., Harmon. Anal., 3(1996)2, 186–200.

    Article  MATH  MathSciNet  Google Scholar 

  3. Feisi Science and Technology Product Center. Wavelet Analyse Theory and MATLAB7 Realization. Beijing, Publishing House of Electronics Industry, 2005, 363–381 (in Chinese). 飞思科技产品研发中心. 小波分析理论与MATLAB7 实现. 北京, 电子工业出版社, 2005, 363–381.

    Google Scholar 

  4. L. Cheng, D. L. Liang, Z. H. Zhang. Popular biorthogonal wavelet filters via a lifting scheme and its application in image compression. IEE Proceedings of Vision, Image and Signal Processings, 150(2003)4, 227–232.

    Article  Google Scholar 

  5. I. Daubechies, W. Sweldens. Factoring wavelet transforms into lifting steps. J. Fourier Anal. Appl., 4(1998)3, 245–267.

    Article  MathSciNet  Google Scholar 

  6. Lian Qiusheng, Wang Chengru, Kong Lingfu. The choice of wavelet in electrocardiogram compression algorithm. Computer Engineering and Applications, 18(2002), 6–8 (in Chinese). 练琪 琪秋生, 王成儒, 孔令富. 心电图压缩算法中的小波基选择. 计算机工程与应用, 18(2002), 6–8.

    Google Scholar 

  7. H. Kim, C. C. Li. Lossless and loss image compression using biorthogonal wavelets with multiple operations. IEEE Trans. on Circuits and Systems II: Analog and Digital Signal Processing, 48(1998)8, 1117–1118.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. College of Information and Electrical Engineering, Shandong University of Science and Technology, Qingdao, 266510, China

    Zhang Kunyan, Guo Yinjing, Lü Wenhong, Sun Jinping & Wang Xiuzhen

Authors
  1. Zhang Kunyan
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Guo Yinjing
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Lü Wenhong
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Sun Jinping
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Wang Xiuzhen
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Zhang Kunyan.

Additional information

Communication author: Zhang Kunyan, born in 1977, female, postgraduate. Institute of Information and Electrical Engineering, Shandong University of Science and Technology, Qingdao 266510, China.

About this article

Cite this article

Zhang, K., Guo, Y., Lü, W. et al. A compression algorithm for ECG based on integer lifting scheme wavelet transform. J. of Electron.(China) 24, 674–678 (2007). https://doi.org/10.1007/s11767-006-0178-2

Download citation

  • Received:

  • Revised:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11767-006-0178-2

Key words

CLC index

Search

Navigation