ANN compression of morphologically similar ECG complexes

D J Hamilton, D C. Thomson, W.A Sandham

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)


A compression algorithm for electrocardiogram signals is presented, based on an auto-associative neural network. Issues of weight and activation coding are considered, and compression performances of various network sizes are compared. A unique feature is the performance improvement achieved using DC level removal. A comparison with existing techniques is provided.
Original languageEnglish
Pages (from-to)841-843
Number of pages3
JournalMedical and Biological Engineering and Computing
Issue number6
Publication statusPublished - Nov 1995
Externally publishedYes


  • compression
  • electrocardiogram
  • neural nets


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