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| Full Citation and Abstract
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Title: |
Efficient Compression of ECG Signals based on two dimensional wavelet transform and DCT decimation |
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Author(s): |
Morteza Moazami-Goudarzi, Hamid Reza Rabiee, Mohammed Ghanbari |
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Address: |
Digital Media Lab., Department of Computer Engineering,
Sharif University of Technology, Tehran, Iran
Digital Media Lab., Department of Computer Engineering,
Sharif University of Technology, Tehran, Iran
Department of Electronic Systems Engineering, University of Essex
England
goudarzi @ dml.aictc.com, rabiee @ sharif.edu, ghan @ essex.ac.uk |
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Reference: |
SSIP-SP1, 2005 pp. 319 - 324 |
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Abstract/
Summary |
An ECG signal is composed of many similar beats which makes it to behave semi-periodic. This paper deals with beat variation periods and exploits the correlation between cycles (inter-beat) and correlation within each cycle (intra-beat) for compression. For efficient compression a 2-dimensional array is constructed from the one dimensional ECG signal using decimation and interpolation in the discrete cosine transform (DCT) domain. Since reasonable results in image compression have been achieved by means of set partitioning in hierarchical trees (SPIHT) algorithm, we use SPIHT algorithm to code the 2-D wavelet transform of the ECG signals. Experimental results on selected records of ECG from the MIT-BIH arrhythmia database indicate that the proposed algorithm is significantly more efficient than those schemes previously proposed for ECG compression. |
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