Heart murmur detection/classification using cochlea-like pre-processing and artificial intelligence

W. Ahmad, M. I. Hayee, J. L. Fitzakerley, S. Burns, G. Nordehn

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


In this research paper, we used a novel approach to pre-process the heart sound signals by altering the electrical signal in a similar way as is done by human cochlea before they go to Artificial Intelligence (AI) for murmur detection/classification. Cochlea-like pre-processing changes the spectral contents of the heart sounds to enhance the murmur information which can then be detected/classified more accurately by AI circuitry. We designed a heart murmur detection/classification system based upon this approach and tested this system using simulated sounds of various murmur types. Our test results show that this approach significantly improves heart murmur detection/classification accuracy.

Original languageEnglish (US)
Pages (from-to)87-96
Number of pages10
JournalInternational Journal of Biomedical Engineering and Technology
Issue number1
StatePublished - 2011


  • AI
  • ANN
  • Artificial intelligence
  • Artificial neural network
  • CLPP
  • Cochlea-like pre-processing
  • Detection/classification
  • Heart murmurs
  • Human cochlea

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