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ECG compression by multirate processing of beats

A G Ramakrishnan1, S Saha

  • 1Department of Electrical Engineering, Indian Institute of Science, Bangalore, India.

Computers and Biomedical Research, an International Journal
|October 1, 1996
PubMed
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This study introduces a novel electrocardiogram (ECG) compression method, achieving high-quality signal approximation at under 30 bits per second. The technique effectively compresses ECG data, offering significant compression ratios for efficient storage and transmission.

Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Cardiology

Background:

  • Single-channel electrocardiogram (ECG) signals present challenges for efficient data compression due to beat-to-beat variations.
  • Existing compression methods may struggle to balance compression ratio with signal fidelity.

Purpose of the Study:

  • To develop and evaluate a novel compression scheme for single-channel ECG signals.
  • To achieve high compression ratios while maintaining a high-quality approximation of the original ECG waveform.

Main Methods:

  • ECG cycle delineation followed by multirate processing for period normalization.
  • Amplitude normalization and vector quantization for coding individual ECG beats.
  • Differential Pulse Code Modulation (DPCM) for transmitting beat-specific parameters.

Related Experiment Videos

Main Results:

  • Achieved compression ratios ranging from 100:1 to 200:1.
  • Obtained a high-quality signal approximation at data rates below 30 bits per second.
  • Successfully reconstructed signals using provided codebooks and transmitted parameters.

Conclusions:

  • The proposed ECG compression scheme offers significant data reduction with minimal loss of signal information.
  • The method is effective for applications requiring efficient ECG data storage and transmission.
  • Further evaluation of error metrics confirmed the technique's viability.