Presence of wheezes in breathing sounds has been associated with several respiratory and
pulmonary diseases. In this paper we present a novel low-complexity wheeze detection
method based on frequency contour tracking for automatic wheeze detection. Two hardware
friendly variants of the algorithm have also been proposed. Applying the proposed feature
extraction algorithm we achieved very high classification accuracy (> 99%) at considerably
low computational complexity (3×-6×) compared to earlier methods and the power …

Presence of wheezes in breathing sounds has been associated with several respiratory and
pulmonary diseases. In this paper we present a novel low-complexity wheeze detection
method based on frequency contour tracking for automatic wheeze detection. Two hardware
friendly variants of the algorithm have also been proposed. Applying the proposed feature
extraction algorithm we achieved very high classification accuracy (> 99%) at considerably
low computational complexity (3X-6X) compared to earlier methods and the power …