A Novel Scheme for joint Multi-channel ECG-ultrasound image compression

In this paper, we introduce a novel approach to compress jointly a Multi-Channel Electrocardiogram (MCE) and an ultrasound image. We will show that this technique allows better performances, in terms of compression ratio (CR) compared to coding separately both modalities. In this approach, scaled ECG samples are inserted within the high frequencies of the ultrasound image after its decomposition on wavelet basis. The new standard JPEG2000 is then applied on the packed data for both coding and decoding purpose. Finally, the reconstruction quality is evaluated using the PSNR (peak signal noise ratio) and the PRD (percent root mean square difference), respectively for both the ultrasound image and the ECG signals.

[1]  H A Fozzard,et al.  AZTEC, a preprocessing program for real-time ECG rhythm analysis. , 1968, IEEE transactions on bio-medical engineering.

[2]  William A. Pearlman,et al.  Wavelet compression of ECG signals by the set partitioning in hierarchical trees algorithm , 2000, IEEE Transactions on Biomedical Engineering.

[3]  Patrick Siarry,et al.  An input-delay neural-network-based approach for piecewise ECG signal compression , 2005, IEEE Transactions on Biomedical Engineering.

[4]  Lakhwinder Kaur,et al.  Space-frequency quantiser design for ultrasound image compression based on minimum description length criterion , 2006, Medical and Biological Engineering and Computing.

[5]  Chih-Lung Lin,et al.  Wavelet-based ECG compression using dynamic vector quantization with tree codevectors in single codebook , 2002, IEEE Trans. Biomed. Eng..

[6]  L. Batista,et al.  Compression of ECG signals by optimized quantization of discrete cosine transform coefficients. , 2001, Medical engineering & physics.

[7]  A. Cohen,et al.  ECG compression using long-term prediction , 1993, IEEE Transactions on Biomedical Engineering.

[8]  Jeffrey M. Hausdorff,et al.  Physionet: Components of a New Research Resource for Complex Physiologic Signals". Circu-lation Vol , 2000 .

[9]  W. A. Coberly,et al.  ECG data compression techniques-a unified approach , 1990, IEEE Transactions on Biomedical Engineering.

[10]  Abdelaziz Ouamri,et al.  ECG compression method using Lorentzian functions model , 2007, Digit. Signal Process..

[11]  Bashar A. Rajoub.  An efficient coding algorithm for the compression of ECG signals using the wavelet transform , 2002, IEEE Transactions on Biomedical Engineering.

[12]  Amjed S. Al-Fahoum,et al.  Perceptually tuned JPEG coder for echocardiac image compression , 2004, IEEE Transactions on Information Technology in Biomedicine.

[13]  M. Stella Atkins,et al.  Wavelet-based space-frequency compression of ultrasound images , 2001, IEEE Transactions on Information Technology in Biomedicine.

[14]  M.L. Hilton,et al.  Wavelet and wavelet packet compression of electrocardiograms , 1997, IEEE Transactions on Biomedical Engineering.