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Multichannel ECG data compression by multirate signal processing and transform domain coding techniques

A E Cetin1, H Köymen, M C Aydin

  • 1Department of Electrical and Electronics Engineering, Bilkent University, Ankara, Turkey.

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|May 1, 1993
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This study introduces a novel multilead electrocardiogram (ECG) data compression method. It achieves compression by transforming correlated ECG signals into uncorrelated ones, then applying advanced coding techniques.

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Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Medical Informatics

Background:

  • Multilead electrocardiogram (ECG) signals exhibit high correlation.
  • Efficient compression of ECG data is crucial for storage and transmission.

Purpose of the Study:

  • To present a novel data compression method for multilead ECG signals.
  • To reduce the data size of ECG recordings while preserving diagnostic information.

Main Methods:

  • Application of a linear transform to standard ECG leads to obtain uncorrelated signals.
  • Compression of transform-domain signals using multirate signal processing.
  • Compression of transform-domain signals using transform domain coding techniques.

Main Results:

  • Obtained a set of uncorrelated transform domain signals from correlated ECG leads.
  • Successfully compressed the transform domain ECG signals.

Conclusions:

  • The proposed method effectively compresses multilead ECG data.
  • Linear transformation followed by coding techniques offers a viable approach for ECG data reduction.