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Comparative Study
Comparison of AR-based algorithms for respiratory sounds classification.
- B Sankur, Y P Kahya, E C Güler, and T Engin.
- Department of Electrical Engineering, Boğaziçi University, Bebek, Istanbul, Turkey.
- Comput. Biol. Med. 1994 Jan 1;24(1):67-76.
AbstractRespiratory sounds of pathological and healthy subjects were analyzed via autoregressive (AR) models with a view to construct a diagnostic aid based on auscultation. Using the AR vectors, two reference libraries, pathological and healthy, were built. Two classifiers, k-nearest neighbour (k-NN) classifier and a quadratic classifier, were designed and compared. Performances of the classifiers were tested for different model orders. The best classification results were obtained for model order 6.
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