Abstract
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 language | English (US) |
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Pages (from-to) | 87-96 |
Number of pages | 10 |
Journal | International Journal of Biomedical Engineering and Technology |
Volume | 7 |
Issue number | 1 |
DOIs | |
State | Published - 2011 |
Keywords
- AI
- ANN
- Artificial intelligence
- Artificial neural network
- CLPP
- Cochlea-like pre-processing
- Detection/classification
- Heart murmurs
- Human cochlea