ECG data compression techniques-a unified approach

  • Jalaleddine S
  • Hutchens C
  • Strattan R
 et al. 
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Abstract

Electrocardiogram (ECG) compression techniques are compared, and a unified view of these techniques is established. ECG data compression schemes are presented in two major groups: direct data compression and transformation methods. The direct data compression techniques are ECG differential pulse code modulation (DPCM) and entropy coding, AZTEC, Turning-point, CORTES, Fan and SAPA algorithms, peak-picking, and cycle-to-cycle compression methods. The transformation methods include Fourier, Walsh, and Karhunen-Loeve transforms. The theoretical bases behind the direct ECG data compression schemes are presented and classified into three categories: tolerance-comparison compression, DPCM, and entropy coding methods. A framework for evaluation and comparison of ECG compression schemes is presented.

Author-supplied keywords

  • Data compression
  • Electrocardiography
  • Entropy coding
  • Fourier transforms
  • Helium
  • Modulation coding
  • Parameter extraction
  • Pulse compression methods
  • Pulse modulation
  • Redundancy

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Authors

  • S.M.S. Jalaleddine

  • C.G. Hutchens

  • R.D. Strattan

  • W.A. Coberly

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