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Efficient compression of ECG signals based on two dimensional wavelet transform and SPIHT coding algorithm

Moazami Goudarzi, M ; Sharif University of Technology | 2005

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  1. Type of Document: Article
  2. Publisher: 2005
  3. Abstract:
  4. Signal compression is an important element encountered in data storage applications. Over the years various techniques for data reductions have been proposed. In this paper we introduce an effective method for compressing semi-periodic signals. Although the approach is applicable to any semi-periodic signal, our attention is focused on the compression of electrocardiogram (ECG) signals. 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 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 MTT-BIH arrhythmia database indicate that the proposed algorithm is significantly more efficient than those schemes previously proposed for ECG compression
  5. Keywords:
  6. Algorithms ; Data compression ; Data reduction ; Electrocardiography ; Electrochromic devices ; Image compression ; Signal processing ; Wavelet transforms ; 2-D wavelet ; 2-d wavelet transforms ; 2-dimensional arrays ; Data storage applications ; Dimensional wavelet transforms ; ECG compressions ; ECG signal compression ; Electrocardiogram signals ; Semi-periodic signal ; Set partitioning in hierarchical trees algorithms ; Signal compressions ; SPIHT ; Spiht algorithms ; SPIHT coding ; Trees (mathematics)
  7. Source: 2005 International Conference on Mathematics and Engineering Techniques in Medicine and Biological Sciences, METMBS'05, Las Vegas, NV, 20 June 2005 through 23 June 2005 ; 2005 , Pages 82-86 ; 9781932415834 (ISBN)
  8. URL: https://www.researchgate.net/publication/221586604_Efficient_Compression_of_ECG_Signals_Based_On_Two_Dimensional_Wavelet_Transform_and_SPIHT_Coding_Algorithm