Hierarchical neural network based compression of ECG signals

  • Authors:

  • Bekir Karlik

  • Affiliations:

  • Department of Computer Engineering, University of Bahrain, Kingdom of Bahrain

  • Venue:
  • ICCS'03 Proceedings of the 1st international conference on Computational science: PartI
  • Year:
  • 2003

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Abstract

Electrocardiogram (ECG) data compression algorithm is needed that will reduce the amount of data to be transmitted, stored and analyzed, but without losing the clinical information content. An example of application of hierarchical neural network structure is described for compression of ECG signals. Then results of this lossy compression method were compared with two efficient compression methods that are fractal based and wavelet based compressions.